Nmi Wsi Diagnosis
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Clam | 786 | 4 months ago | 26 | gpl-3.0 | Python | |||||
| Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering | ||||||||||
| Nmi Wsi Diagnosis | 58 | 5 years ago | Python | |||||||
| Pathologist-level interpretable whole-slide cancer diagnosis with deep learning | ||||||||||
| Tcga_segmentation | 57 | 3 years ago | 3 | agpl-3.0 | Python | |||||
| Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024 | ||||||||||
| Deeplearning Digital Pathology | 32 | 6 years ago | Python | |||||||
| Full package for applying deep learning to virtual slides. | ||||||||||
| Livercancerseg | 30 | 2 years ago | 5 | mit | Python | |||||
| PAIP2019: Liver Cancer Segmentation | ||||||||||
| Hsn_v1 | 17 | 4 years ago | mit | Jupyter Notebook | ||||||
| HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019) | ||||||||||
| Paperreading | 6 | 2 years ago | 9 | gpl-3.0 | ||||||
| Computer Vision Paper Reading for ISCAS | ||||||||||
| Semantic Segmentation | 5 | 5 years ago | Jupyter Notebook | |||||||
| Semantic instance segmentation of specimen images using semi-supervised learning | ||||||||||
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