KatherLab / cancer-metadata
machine-readable information for the TCGA dataset, mirrored from other sources
☆16Updated 2 years ago
Alternatives and similar repositories for cancer-metadata:
Users that are interested in cancer-metadata are comparing it to the libraries listed below
- source code of Inter-MIL: self-interactive multi-instance learning☆11Updated last year
- Solid Tumor Associative Modeling in Pathology☆59Updated this week
- Data and code to accompany our Nature publication☆44Updated 2 years ago
- ☆16Updated 2 years ago
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year
- GrandQC tool for tissue detection and quality control in pathology☆25Updated last month
- ☆15Updated 2 years ago
- ☆26Updated 2 years ago
- CEll spatial Organization-based graph convolutional network☆24Updated last year
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆28Updated 9 months ago
- Pipeline for computational pathology☆34Updated last year
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆25Updated last year
- ECCV-AIMIA 2022 paper: "Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images"☆12Updated last year
- ☆15Updated 2 years ago
- ☆49Updated last year
- ☆13Updated 9 months ago
- HCC_Deep_learning☆19Updated 4 years ago
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆29Updated 3 months ago
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆24Updated last year
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆20Updated 7 months ago
- GraphLSurv: A Scalable Survival Prediction Network with Adaptive and Sparse Structure Learning for Histopathological Whole-Slide Images -…☆11Updated last year
- Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"☆17Updated 6 months ago
- ☆36Updated 2 years ago
- End-to-end pipeline to go from raw H&E slides to normalised extracted features for training☆23Updated 11 months ago
- Scripts for data processing☆40Updated 8 months ago
- ☆40Updated 3 years ago
- Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine☆30Updated 2 years ago
- This repository contains the implementation of TILAb-score as described in the original paper.☆18Updated 5 years ago
- A set of codes to classify H&E slides using deep learning☆29Updated 2 years ago
- Variance pooling to incorporate ITH in CPath models - MICCAI 2022☆23Updated 2 years ago