Colposcopy Digital Atlas low and high grade dataset and scraper
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Updated
Oct 20, 2025 - Python
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colposcopy
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CerviScan is a machine learning project for early detection of cervical pre-cancer using color moments and texture features extracted from post-VIA colposcopy images. This research evaluates multiple color spaces, feature fusion strategies, and traditional ML classifiers such as XGBoost and AdaBoost to improve diagnostic performance.
machine-learningcomputer-visionmedical-imagingfeature-extractionxgboostclassificationresearch-projectadaboostpreprocessingbiomedical-engineeringtexture-analysiscolor-momentscolposcopycervical-cancermulti-otsu-thresholding
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Updated
Nov 16, 2025 - Python
Image processing pipeline to estimate cervix size and visibility percentage from colposcopy images using ellipse fitting and OS-based calibration
pythonopencvcomputer-visionimage-processingmedical-imagingbiomedicalcolposcopycervical-cancerellipse-fittingostiumgynaecologyatlas-colposcopy
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Updated
May 19, 2026 - Python
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