digital-pathology topic
cellseg_models.pytorch
Encoder-Decoder Cell and Nuclei segmentation models
FocusLiteNN
Official PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"
H2G-Net
🚀 H2G-Net: Segmentation of breast cancer region from whole slide images
wsidicom
Python package for reading DICOM WSI file sets.
LabelSlide
LabelSlide is a slide annotation tool and label object bounding boxes in virtual slides (generally used in pathology)
fast-stain-normalization
:star2: GPU-accelerated stain normalization command line tool
SSL_CR_Histo
Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.
ICCV-CDPATH2021-ID-8
Official code for "Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology", ICCV, 2021, CDpath Workshop (Oral).
style-transfer-for-digital-pathology
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation
WSIPenMarkingRemoval
Remove pen-marking annotations on whole slide images(WSIs) for data achiving.