PathologyDataScience / SCNNLinks
Survival Convolutional Neural Networks
☆67Updated 2 years ago
Alternatives and similar repositories for SCNN
Users that are interested in SCNN are comparing it to the libraries listed below
Sorting:
- Data and code to accompany our Nature publication☆48Updated 3 years ago
- Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.☆55Updated 3 years ago
- A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.☆80Updated 3 years ago
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆18Updated 5 years ago
- Python scripts for automatic Whole-Slide Image preprocessing.☆36Updated 4 years ago
- Deep learning survival models☆118Updated 2 years ago
- This repository contains the implementation of TILAb-score as described in the original paper.☆18Updated 6 years ago
- predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer☆102Updated 6 years ago
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆77Updated 5 years ago
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆67Updated last year
- Full package for applying deep learning to virtual slides.☆72Updated 7 years ago
- Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.☆22Updated 5 years ago
- A set of codes to classify H&E slides using deep learning☆29Updated 3 years ago
- Whole Slide Digital Pathology Image Tissue Localization☆45Updated 2 years ago
- HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)☆94Updated 5 years ago
- Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction☆88Updated 6 years ago
- A High-Throughput Workflow for Preprocessing, Deep Learning Analytics and Interpretation in Digital Pathology☆42Updated 3 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆74Updated 11 months ago
- Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Qu…☆79Updated 10 months ago
- HCC_Deep_learning☆19Updated 5 years ago
- Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.☆21Updated 2 years ago
- Handling whole-slide images with region-level annotations.☆10Updated 6 years ago
- DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep …☆38Updated 4 years ago
- Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch samplin…☆163Updated last year
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆75Updated 5 years ago
- Code from Foersch et al. (Under Construction / Development)☆38Updated 2 years ago
- ☆45Updated 2 years ago
- A pipeline to segment tissue from the background in histological images☆71Updated 2 years ago
- ☆50Updated 3 years ago
- AI-based pathology predicts origins for cancers of unknown primary - Nature☆177Updated 4 years ago