Computational Pathology

Pinned Repositories

aicc.github.io
https://ai4cc.org/
Language:CSS01
DMMN
Deep Multi-Magnification Network for multi-class tissue segmentation of whole slide images
Language:Python24 2 34
DMMN-osteosarcoma
Language:Python5 2 11
DMMN-ovary
Language:Python100
EPIC-Survival
End-to-end survival modelling for digital histopathology images. This model clusters morphologies, as informed by prognostic supervision. It can directly predict prognosis and generate rich feature embeddings.
Language:Python2 0 00
MIL-nature-medicine-2019
Language:Python340 12 23104
MSKCC_RCM_BCC
Language:Python00
Nuc2Vec
Language:Python01
PenAnnotationExtractor
Pen annotation extraction from WSI
Language:Python82

Computational Pathology's Repositories

MSKCC-Computational-Pathology/MIL-nature-medicine-2019
Language:Python340 12 23104
MSKCC-Computational-Pathology/DMMN
Deep Multi-Magnification Network for multi-class tissue segmentation of whole slide images
Language:Python24 2 34
MSKCC-Computational-Pathology/DMMN-ovary
Language:Python100
MSKCC-Computational-Pathology/PenAnnotationExtractor
Pen annotation extraction from WSI
Language:Python82
MSKCC-Computational-Pathology/DMMN-osteosarcoma
Language:Python5 2 11
MSKCC-Computational-Pathology/EPIC-Survival
End-to-end survival modelling for digital histopathology images. This model clusters morphologies, as informed by prognostic supervision. It can directly predict prognosis and generate rich feature embeddings.
Language:Python2 0 00
MSKCC-Computational-Pathology/aicc.github.io
https://ai4cc.org/
Language:CSS01
MSKCC-Computational-Pathology/MSKCC_RCM_BCC
Language:Python00
MSKCC-Computational-Pathology/Nuc2Vec
Language:Python01