ml-and-ml
Computational Pathology. Cancer scientist with expertise in computer vision, machine learning, and big data.
Memorial Sloan Kettering Cancer CenterNew York
Pinned Repositories
nnTrainer
Torch learning script. Alexnet and Resnet are supported.
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.
FeatureAnalysis
GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
ml-and-ml
homepage
openslide-patched
C library for reading virtual slide images
PenAnnotationExtractor
Pen annotation extraction from WSI
SimCLR-Pathology
Implementation of SimCLR, customized for training on high-resolution digital pathology images.
tiatoolbox
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
ml-and-ml's Repositories
ml-and-ml/SimCLR-Pathology
Implementation of SimCLR, customized for training on high-resolution digital pathology images.
ml-and-ml/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.
ml-and-ml/FeatureAnalysis
ml-and-ml/GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
ml-and-ml/ml-and-ml
homepage
ml-and-ml/openslide-patched
C library for reading virtual slide images
ml-and-ml/PenAnnotationExtractor
Pen annotation extraction from WSI