AdalbertoCq / Adversarial-learning-of-cancer-tissue-representationsLinks
Corresponding code of 'Quiros, A. C., Coudray, N., Yeaton, A., Sunhem, W., Murray-Smith, R., Tsirigos, A., Yuan, K. Adversarial learning of cancer tissue representations. The 24th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2021'
☆15Updated 3 years ago
Alternatives and similar repositories for Adversarial-learning-of-cancer-tissue-representations
Users that are interested in Adversarial-learning-of-cancer-tissue-representations are comparing it to the libraries listed below
Sorting:
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆75Updated 5 years ago
- H&E histopathological staining normalization☆109Updated 5 years ago
- Code and GUI for Feature-driven Local Cell Graph (FLocK): New Computational Pathology based descriptors☆16Updated 2 years ago
- Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings o…☆98Updated 4 years ago
- Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.☆55Updated 3 years ago
- Re-stained whole slide image alignment☆35Updated 2 years ago
- Histopathology Image Analysis☆93Updated 2 years ago
- Pipeline for computational pathology☆38Updated last year
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆70Updated 3 years ago
- Data and code to accompany our Nature publication☆48Updated 3 years ago
- ☆46Updated 3 years ago
- Whole Slide Digital Pathology Image Tissue Localization☆45Updated 2 years ago
- CNN based segmentation codes☆48Updated 2 years ago
- Some stain normalization code☆93Updated 3 years ago
- Survival Convolutional Neural Networks☆68Updated 2 years ago
- ☆57Updated 3 years ago
- predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer☆103Updated 6 years ago
- This repository contains the implementation of TILAb-score as described in the original paper.☆18Updated 6 years ago
- ☆17Updated 3 years ago
- Gene mutation and pathway activity prediction from H&E slides☆35Updated 3 years ago
- Interactive Segmentation of Nucleus☆66Updated 3 years ago
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆79Updated 2 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆57Updated 2 years ago
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆18Updated 5 years ago
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆107Updated 3 weeks ago
- ☆16Updated last year
- Python scripts for automatic Whole-Slide Image preprocessing.☆36Updated 4 years ago
- ☆30Updated 5 years ago
- Python 3 library for the augmentation & normalization of H&E images☆61Updated 3 years ago
- HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)☆94Updated 5 years ago