KatherLab / cancer-metadataLinks
machine-readable information for the TCGA dataset, mirrored from other sources
☆21Updated 3 years ago
Alternatives and similar repositories for cancer-metadata
Users that are interested in cancer-metadata are comparing it to the libraries listed below
Sorting:
- ☆20Updated 2 years ago
- End-to-end pipeline to go from raw H&E slides to normalised extracted features for training☆27Updated last year
- Code from Foersch et al. (Under Construction / Development)☆37Updated 2 years ago
- Solid Tumor Associative Modeling in Pathology☆92Updated this week
- Pipeline for computational pathology☆38Updated last year
- GrandQC tool for tissue detection and quality control in pathology☆70Updated 7 months ago
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆44Updated 10 months ago
- ☆15Updated 8 months ago
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆24Updated 2 years ago
- First commit☆63Updated 3 years 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…☆72Updated 8 months ago
- Tools to build deep learning pipelines.☆109Updated 11 months ago
- ☆34Updated 2 years ago
- Histopathology Slides Preprocessing Pipeline☆42Updated 7 months ago
- CEll spatial Organization-based graph convolutional network☆26Updated last year
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆29Updated last year
- ☆56Updated 2 years ago
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆24Updated 2 years ago
- ☆57Updated 3 years ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆83Updated last year
- Data and code to accompany our Nature publication☆46Updated 3 years ago
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆20Updated last year
- Feather - Lightweight supervised slide foundation models (ICML 2025)☆95Updated 2 months ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆32Updated last year
- Scripts for data processing☆48Updated last year
- ☆14Updated last year
- GraphLSurv: A Scalable Survival Prediction Network with Adaptive and Sparse Structure Learning for Histopathological Whole-Slide Images -…☆12Updated 2 years ago
- Multimodal prototyping for cancer survival prediction - ICML 2024☆96Updated 8 months ago
- Efficient Approach for Guided Local Examination in Digital Pathology☆27Updated 5 months ago
- PyTorch implementation of HisToGene☆42Updated 3 years ago