Breast-Cancer-Detection-using-Deep-Learning
importedsoftware/breast-cancer-detection-using-deep-learning
Experiments to show the usage of deep learning to detect breast cancer from breast histopathology images
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- class-imbalance · computer-vision · deep-learning · fastai · medical-imaging · resnet50
- 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.
- niftiaifastai · medical-imaging
Train neural nets on 3D images (e.g. MRIs) 🧠
- Global-AI-Kaggle-Hackathon-2025-Elucidatacomputer-vision · resnet50
🎯 Top 204 solution for Elucidata AI Challenge 2025 – Predicting spatial cell-type composition from histology images using CNNs with EfficientNet & ResNet backbones, multi-scale patching, and…
- DHCclass-imbalance
MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation
- lemonpiefastai
A deep learning library for Electronic Health Record (EHR) data
- angiodysplasia-segmentationcomputer-vision · medical-imaging
Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization
- BayesCapcomputer-vision · medical-imaging
(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
- api.github.com/repos/sayakpaul/Breast-Cancer-Detection-using-Deep-Learningretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2019-05-16, 59 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/50.json→ .entries["breast-cancer-detection-using-deep-learning"]
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