H2G-Net
importedsoftware/h2g-net
🚀 H2G-Net: Segmentation of breast cancer region from whole slide images
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- AICAN-Research
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/AICAN-Research/H2G-Net
- Documentation
- unknown
- Tags
- agu-net · breast-cancer · clustering · cnn · computational-pathology · convolutional-neural-networks · deep-learning · digital-pathology
- 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.
- MuTILs_Panopticbreast-cancer · computational-pathology · convolutional-neural-networks · digital-pathology
Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs model and PanopTILs dataset. medRxiv 2022.01.08.22268814.
- HiPSbreast-cancer · computational-pathology · digital-pathology
Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis
- FAST-Pathologycomputational-pathology · convolutional-neural-networks · digital-pathology
⚡ Open-source software for deep learning-based digital pathology
- breast-epithelium-segmentationbreast-cancer · digital-pathology
🌸 Breast epithelium segmentation through IHC-guided supervision
- ACMILcomputational-pathology · digital-pathology
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)
- aestetikcomputational-pathology · digital-pathology
AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data
- api.github.com/repos/AICAN-Research/H2G-Netretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-07-21, 29 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/18.json→ .entries["h2g-net"]
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