Matlab functions to support analysis of digital pathology images.
-
Updated
Feb 21, 2017 - MATLAB
Matlab functions to support analysis of digital pathology images.
Zoomable Image Format
Reading list for Computational Pathology
Full package for applying deep learning to virtual slides.
Convenient interface for generating tiles from Aperio SVS format images
adaptive color deconvolution for paper "Zheng et al., CMPB, 2019"
Supplementary information associated with Besson et al. (2019) ECDP 2019
Deep Learning for Kidney Histologic Primitives (U-Net implementation in PyTorch)
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation
Scientific Reports volume 11, Article number: 4037 (2021)
Distributed training of digital pathology tissue slide images using SageMaker and Horovod.
LabelSlide is a slide annotation tool and label object bounding boxes in virtual slides (generally used in pathology)
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'
Liver fibrosis classification using graph convolutional networks.
Official code for "Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology", ICCV, 2021, CDpath Workshop (Oral).
Delete the label image to deidentify a whole-slide image (WSI) with an optional GUI
A Keras implementation of YOLOv3 (Tensorflow backend)
Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Learning a low dimensional manifold of real cancer tissue with PathologyGAN 2020'.
Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.
Add a description, image, and links to the digital-pathology topic page so that developers can more easily learn about it.
To associate your repository with the digital-pathology topic, visit your repo's landing page and select "manage topics."