torchmil
importedsoftware/torchmil
Deep Multiple Instance Learning library for Pytorch
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- torchmil.readthedocs.io
- Repository
- github.com/Franblueee/torchmil
- Documentation
- unknown
- Tags
- ct-scan · deep-learning · machine-learning · medical-imaging · multiple-instance-learning · python · pytorch · whole-slide-image
- 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.
- GatedSRPmedical-imaging · multiple-instance-learning · pytorch · whole-slide-image
[BMVC 2026 Oral] Gated Spatial Redundancy Projection for Pathology Transformer Attentions
- MOOZYmedical-imaging · multiple-instance-learning · whole-slide-image
[ECCV 2026] A Patient-First Foundation Model for Computational Pathology
- SurvivMIL_COMPAYLmultiple-instance-learning · whole-slide-image
SurvivMIL: A multimodal, Multiple Instance Learning pipeline for survival outcome of Neuroblastoma Patients
- tcga_segmentationmedical-imaging · multiple-instance-learning
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
- nuclei.iomedical-imaging · whole-slide-image
nuclei.io: Human-in-the-loop active learning framework for pathology image analysis
- ACMILmultiple-instance-learning
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)
- api.github.com/repos/Franblueee/torchmilretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-05-08, 90 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/1.json→ .entries["torchmil"]
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