Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
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Updated
Apr 29, 2024 - Python
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
Tools for computational pathology
Library for Digital Pathology Image Processing
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
A vision-language foundation model for computational pathology - Nature Medicine
Stain normalization tools for histological analysis and computational pathology
PAthological QUpath Obsession - QuPath and Python conversations
Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings of The 3rd International Conference on Medical Imaging with Deep Learning (MIDL) 2020'
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images - CVPR 2023
TiffSlide - cloud native openslide-python replacement based on tifffile
Full package for applying deep learning to virtual slides.
Encoder-Decoder Cell and Nuclei segmentation models
Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.
Official PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"
WSI classification
adaptive color deconvolution for paper "Zheng et al., CMPB, 2019"
Tools for whole slide image (WSI) processing. Especially for (pairwise) patch extraction, annotation parsing and data preparation for deep learning purposes.
Python package for reading DICOM WSI file sets.
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation
🌟 GPU-accelerated stain normalization command line tool
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