GMIC
importedsoftware/gmic
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- AGPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- nyukat
- Country
- unknown
- Repository
- github.com/nyukat/GMIC
- Documentation
- unknown
- Tags
- breast-cancer · breast-cancer-diagnosis · breast-cancer-screening · deep-learning · medical-imaging · pytorch
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- breast_cancer_classifierbreast-cancer · breast-cancer-diagnosis · medical-imaging
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
- ICIAR2018breast-cancer · medical-imaging · pytorch
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)
- FMCalistobreast-cancer · medical-imaging
:crystal_ball: My Personal Open Source'rer Profile
- metabreast-cancer · medical-imaging
:paperclip: About MIMBCD-UI Project
- VICTRE_PIPELINEbreast-cancer · medical-imaging
Home for the unified VICTRE pipeline for in silico breast imaging.
- active-segmentationmedical-imaging · pytorch
ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
- api.github.com/repos/nyukat/GMICretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-07-25, 188 stars, license reported as AGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/49.json→ .entries["gmic"]
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