Weakly Supervised Learning for Findings Detection in Medical Images
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Updated
Jun 21, 2022 - Python
Weakly Supervised Learning for Findings Detection in Medical Images
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This repository shares the preprocessing scripts for Deep Learning we use at the Molecular Imaging Branch at the NIH
"NIHDataFetcher" is a GitHub repository with scripts for accessing and fetching data from various NIH databases like GEO and PubMed. It provides code examples to retrieve GEO datasets, search PubMed, and load ClinVar data. Ideal for researchers and data scientists working with biomedical information.
Catches common errors in NIH grant budget spreadsheets — salary cap, module counts, MTDC base — entirely offline. No upload, no account, no network call.
Three MCP servers for federal patent and grant research (USPTO + multi-source NSF/NIH/DOE + SBIR). Built for the Aerographix landscape passes.
Automated Python tool for tracking NIH publication compliance by querying PubMed, PMC, NIHMS, and iCite, with REDCap integration.
Framework and results for CRISPR perturbation prediction benchmarks, extending the Nature Methods setting with LSFT, LOGO, and single-cell transfer analysis.
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