taliq / TEA-graph
First commit
☆61Updated 2 years ago
Alternatives and similar repositories for TEA-graph:
Users that are interested in TEA-graph are comparing it to the libraries listed below
- ☆52Updated last year
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆26Updated last year
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆68Updated last year
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆39Updated 4 months ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆26Updated last year
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆42Updated 4 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…☆60Updated 3 months ago
- Tools to build deep learning pipelines.☆100Updated 5 months ago
- ☆19Updated last year
- ☆55Updated 3 years ago
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆147Updated 11 months ago
- ☆17Updated 11 months ago
- Standardized benchmark for computational pathology foundation models.☆66Updated this week
- [MICCAI 2023 Oral] The official code of "Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction" (top 9%)☆92Updated 2 months ago
- Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometria…☆43Updated last year
- Multimodal prototyping for cancer survival prediction - ICML 2024☆82Updated 2 months ago
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆33Updated 5 months ago
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year
- Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024☆124Updated 2 months ago
- ☆61Updated 2 months ago
- Histopathology Image Analysis☆93Updated last year
- Data and code to accompany our Nature publication☆46Updated 3 years ago
- A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular state revelation of gliom…☆33Updated 4 months ago
- GrandQC tool for tissue detection and quality control in pathology☆44Updated 2 months ago
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆19Updated 9 months ago
- ☆13Updated 2 months ago
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆25Updated last year
- Transcriptomics-guided Slide Representation Learning in Computational Pathology - CVPR 2024☆99Updated 6 months ago
- A pan-cancer platform for mutation prediction from routine histology☆68Updated 3 years ago
- Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs m…☆17Updated last week