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Segmentator

Segmentator is a free and open-source package for multi-dimensional data exploration and segmentation for 3D images. This application is mainly developed and tested using ultra-high field magnetic resonance imaging (MRI) brain data.

The goal is to provide a complementary tool to the already available brain tissue segmentation methods (to the best of our knowledge) in other software packages (FSL, CBS-Tools, ITK-SNAP, Freesurfer, SPM, Brainvoyager, etc.).

Citation:

  • Our paper can be accessed from this link.
  • Released versions of this package can be cited by using our Zenodo DOI.

Core dependencies

Python 3.6 or Python 2.7 (compatible with both).

PackageTested version
matplotlib3.1.1
NumPy1.22.0
NiBabel2.5.1
SciPy1.3.1
Compoda0.3.5

Installation & Quick Start

cd /path/to/segmentator
  • Install the requirements by running the following command:
pip install -r requirements.txt
  • Install Segmentator:
python setup.py install
  • Simply call segmentator with a nifti file:
segmentator /path/to/file.nii.gz
  • Or see the help for available options:
segmentator --help

Check out our wiki for further details such as GUI controls, alternative installation methods and more...

Support

Please use GitHub issues for questions, bug reports or feature requests.

License

Copyright © 2019, Omer Faruk Gulban and Marian Schneider. This project is licensed under BSD-3-Clause.

References

This application is mainly based on the following work:

Acknowledgements

Since early 2020, development and maintenance of this project is being actively supported by Brain Innovation as the main developer (Omer Faruk Gulban) works there.

About

3D MRI data exploration and segmentation tool.

Topics

Resources

Contributing

Stars

76 stars

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10 watching

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(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - ofgulban/segmentator: 3D MRI data exploration and segmentation tool. · GitHub
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DOI

Segmentator

Segmentator is a free and open-source package for multi-dimensional data exploration and segmentation for 3D images. This application is mainly developed and tested using ultra-high field magnetic resonance imaging (MRI) brain data.

The goal is to provide a complementary tool to the already available brain tissue segmentation methods (to the best of our knowledge) in other software packages (FSL, CBS-Tools, ITK-SNAP, Freesurfer, SPM, Brainvoyager, etc.).

Citation:

  • Our paper can be accessed from this link.
  • Released versions of this package can be cited by using our Zenodo DOI.

Core dependencies

Python 3.6 or Python 2.7 (compatible with both).

PackageTested version
matplotlib3.1.1
NumPy1.22.0
NiBabel2.5.1
SciPy1.3.1
Compoda0.3.5

Installation & Quick Start

cd /path/to/segmentator
  • Install the requirements by running the following command:
pip install -r requirements.txt
  • Install Segmentator:
python setup.py install
  • Simply call segmentator with a nifti file:
segmentator /path/to/file.nii.gz
  • Or see the help for available options:
segmentator --help

Check out our wiki for further details such as GUI controls, alternative installation methods and more...

Support

Please use GitHub issues for questions, bug reports or feature requests.

License

Copyright © 2019, Omer Faruk Gulban and Marian Schneider. This project is licensed under BSD-3-Clause.

References

This application is mainly based on the following work:

Acknowledgements

Since early 2020, development and maintenance of this project is being actively supported by Brain Innovation as the main developer (Omer Faruk Gulban) works there.

About

3D MRI data exploration and segmentation tool.

Topics

Resources

Contributing

Stars

76 stars

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10 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - ofgulban/segmentator: 3D MRI data exploration and segmentation tool. · GitHub
Skip to content

Repository files navigation

DOI

Segmentator

Segmentator is a free and open-source package for multi-dimensional data exploration and segmentation for 3D images. This application is mainly developed and tested using ultra-high field magnetic resonance imaging (MRI) brain data.

The goal is to provide a complementary tool to the already available brain tissue segmentation methods (to the best of our knowledge) in other software packages (FSL, CBS-Tools, ITK-SNAP, Freesurfer, SPM, Brainvoyager, etc.).

Citation:

  • Our paper can be accessed from this link.
  • Released versions of this package can be cited by using our Zenodo DOI.

Core dependencies

Python 3.6 or Python 2.7 (compatible with both).

PackageTested version
matplotlib3.1.1
NumPy1.22.0
NiBabel2.5.1
SciPy1.3.1
Compoda0.3.5

Installation & Quick Start

cd /path/to/segmentator
  • Install the requirements by running the following command:
pip install -r requirements.txt
  • Install Segmentator:
python setup.py install
  • Simply call segmentator with a nifti file:
segmentator /path/to/file.nii.gz
  • Or see the help for available options:
segmentator --help

Check out our wiki for further details such as GUI controls, alternative installation methods and more...

Support

Please use GitHub issues for questions, bug reports or feature requests.

License

Copyright © 2019, Omer Faruk Gulban and Marian Schneider. This project is licensed under BSD-3-Clause.

References

This application is mainly based on the following work:

Acknowledgements

Since early 2020, development and maintenance of this project is being actively supported by Brain Innovation as the main developer (Omer Faruk Gulban) works there.

About

3D MRI data exploration and segmentation tool.

Topics

Resources

Contributing

Stars

76 stars

Watchers

10 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - ofgulban/segmentator: 3D MRI data exploration and segmentation tool. · GitHub
Skip to content

Repository files navigation

DOI

Segmentator

Segmentator is a free and open-source package for multi-dimensional data exploration and segmentation for 3D images. This application is mainly developed and tested using ultra-high field magnetic resonance imaging (MRI) brain data.

The goal is to provide a complementary tool to the already available brain tissue segmentation methods (to the best of our knowledge) in other software packages (FSL, CBS-Tools, ITK-SNAP, Freesurfer, SPM, Brainvoyager, etc.).

Citation:

  • Our paper can be accessed from this link.
  • Released versions of this package can be cited by using our Zenodo DOI.

Core dependencies

Python 3.6 or Python 2.7 (compatible with both).

PackageTested version
matplotlib3.1.1
NumPy1.22.0
NiBabel2.5.1
SciPy1.3.1
Compoda0.3.5

Installation & Quick Start

cd /path/to/segmentator
  • Install the requirements by running the following command:
pip install -r requirements.txt
  • Install Segmentator:
python setup.py install
  • Simply call segmentator with a nifti file:
segmentator /path/to/file.nii.gz
  • Or see the help for available options:
segmentator --help

Check out our wiki for further details such as GUI controls, alternative installation methods and more...

Support

Please use GitHub issues for questions, bug reports or feature requests.

License

Copyright © 2019, Omer Faruk Gulban and Marian Schneider. This project is licensed under BSD-3-Clause.

References

This application is mainly based on the following work:

Acknowledgements

Since early 2020, development and maintenance of this project is being actively supported by Brain Innovation as the main developer (Omer Faruk Gulban) works there.

About

3D MRI data exploration and segmentation tool.

Topics

Resources

Contributing

Stars

76 stars

Watchers

10 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' GitHub - ofgulban/segmentator: 3D MRI data exploration and segmentation tool. · GitHub
Skip to content

Repository files navigation

DOI

Segmentator

Segmentator is a free and open-source package for multi-dimensional data exploration and segmentation for 3D images. This application is mainly developed and tested using ultra-high field magnetic resonance imaging (MRI) brain data.

The goal is to provide a complementary tool to the already available brain tissue segmentation methods (to the best of our knowledge) in other software packages (FSL, CBS-Tools, ITK-SNAP, Freesurfer, SPM, Brainvoyager, etc.).

Citation:

  • Our paper can be accessed from this link.
  • Released versions of this package can be cited by using our Zenodo DOI.

Core dependencies

Python 3.6 or Python 2.7 (compatible with both).

PackageTested version
matplotlib3.1.1
NumPy1.22.0
NiBabel2.5.1
SciPy1.3.1
Compoda0.3.5

Installation & Quick Start

cd /path/to/segmentator
  • Install the requirements by running the following command:
pip install -r requirements.txt
  • Install Segmentator:
python setup.py install
  • Simply call segmentator with a nifti file:
segmentator /path/to/file.nii.gz
  • Or see the help for available options:
segmentator --help

Check out our wiki for further details such as GUI controls, alternative installation methods and more...

Support

Please use GitHub issues for questions, bug reports or feature requests.

License

Copyright © 2019, Omer Faruk Gulban and Marian Schneider. This project is licensed under BSD-3-Clause.

References

This application is mainly based on the following work:

Acknowledgements

Since early 2020, development and maintenance of this project is being actively supported by Brain Innovation as the main developer (Omer Faruk Gulban) works there.

About

3D MRI data exploration and segmentation tool.

Topics

Resources

Contributing

Stars

76 stars

Watchers

10 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - ofgulban/segmentator: 3D MRI data exploration and segmentation tool. · GitHub
Skip to content

Repository files navigation

DOI

Segmentator

Segmentator is a free and open-source package for multi-dimensional data exploration and segmentation for 3D images. This application is mainly developed and tested using ultra-high field magnetic resonance imaging (MRI) brain data.

The goal is to provide a complementary tool to the already available brain tissue segmentation methods (to the best of our knowledge) in other software packages (FSL, CBS-Tools, ITK-SNAP, Freesurfer, SPM, Brainvoyager, etc.).

Citation:

  • Our paper can be accessed from this link.
  • Released versions of this package can be cited by using our Zenodo DOI.

Core dependencies

Python 3.6 or Python 2.7 (compatible with both).

PackageTested version
matplotlib3.1.1
NumPy1.22.0
NiBabel2.5.1
SciPy1.3.1
Compoda0.3.5

Installation & Quick Start

cd /path/to/segmentator
  • Install the requirements by running the following command:
pip install -r requirements.txt
  • Install Segmentator:
python setup.py install
  • Simply call segmentator with a nifti file:
segmentator /path/to/file.nii.gz
  • Or see the help for available options:
segmentator --help

Check out our wiki for further details such as GUI controls, alternative installation methods and more...

Support

Please use GitHub issues for questions, bug reports or feature requests.

License

Copyright © 2019, Omer Faruk Gulban and Marian Schneider. This project is licensed under BSD-3-Clause.

References

This application is mainly based on the following work:

Acknowledgements

Since early 2020, development and maintenance of this project is being actively supported by Brain Innovation as the main developer (Omer Faruk Gulban) works there.

About

3D MRI data exploration and segmentation tool.

Topics

Resources

Contributing

Stars

76 stars

Watchers

10 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - ofgulban/segmentator: 3D MRI data exploration and segmentation tool. · GitHub
Skip to content

Repository files navigation

DOI

Segmentator

Segmentator is a free and open-source package for multi-dimensional data exploration and segmentation for 3D images. This application is mainly developed and tested using ultra-high field magnetic resonance imaging (MRI) brain data.

The goal is to provide a complementary tool to the already available brain tissue segmentation methods (to the best of our knowledge) in other software packages (FSL, CBS-Tools, ITK-SNAP, Freesurfer, SPM, Brainvoyager, etc.).

Citation:

  • Our paper can be accessed from this link.
  • Released versions of this package can be cited by using our Zenodo DOI.

Core dependencies

Python 3.6 or Python 2.7 (compatible with both).

PackageTested version
matplotlib3.1.1
NumPy1.22.0
NiBabel2.5.1
SciPy1.3.1
Compoda0.3.5

Installation & Quick Start

cd /path/to/segmentator
  • Install the requirements by running the following command:
pip install -r requirements.txt
  • Install Segmentator:
python setup.py install
  • Simply call segmentator with a nifti file:
segmentator /path/to/file.nii.gz
  • Or see the help for available options:
segmentator --help

Check out our wiki for further details such as GUI controls, alternative installation methods and more...

Support

Please use GitHub issues for questions, bug reports or feature requests.

License

Copyright © 2019, Omer Faruk Gulban and Marian Schneider. This project is licensed under BSD-3-Clause.

References

This application is mainly based on the following work:

Acknowledgements

Since early 2020, development and maintenance of this project is being actively supported by Brain Innovation as the main developer (Omer Faruk Gulban) works there.

About

3D MRI data exploration and segmentation tool.

Topics

Resources

Contributing

Stars

76 stars

Watchers

10 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); GitHub - ofgulban/segmentator: 3D MRI data exploration and segmentation tool. · GitHub
Skip to content

Repository files navigation

DOI

Segmentator

Segmentator is a free and open-source package for multi-dimensional data exploration and segmentation for 3D images. This application is mainly developed and tested using ultra-high field magnetic resonance imaging (MRI) brain data.

The goal is to provide a complementary tool to the already available brain tissue segmentation methods (to the best of our knowledge) in other software packages (FSL, CBS-Tools, ITK-SNAP, Freesurfer, SPM, Brainvoyager, etc.).

Citation:

  • Our paper can be accessed from this link.
  • Released versions of this package can be cited by using our Zenodo DOI.

Core dependencies

Python 3.6 or Python 2.7 (compatible with both).

PackageTested version
matplotlib3.1.1
NumPy1.22.0
NiBabel2.5.1
SciPy1.3.1
Compoda0.3.5

Installation & Quick Start

cd /path/to/segmentator
  • Install the requirements by running the following command:
pip install -r requirements.txt
  • Install Segmentator:
python setup.py install
  • Simply call segmentator with a nifti file:
segmentator /path/to/file.nii.gz
  • Or see the help for available options:
segmentator --help

Check out our wiki for further details such as GUI controls, alternative installation methods and more...

Support

Please use GitHub issues for questions, bug reports or feature requests.

License

Copyright © 2019, Omer Faruk Gulban and Marian Schneider. This project is licensed under BSD-3-Clause.

References

This application is mainly based on the following work:

Acknowledgements

Since early 2020, development and maintenance of this project is being actively supported by Brain Innovation as the main developer (Omer Faruk Gulban) works there.

About

3D MRI data exploration and segmentation tool.

Topics

Resources

Contributing

Stars

76 stars

Watchers

10 watching

Forks

Releases

Packages

Used by

Contributors

Languages