taliq / TEA-graphLinks
First commit
☆63Updated 3 years ago
Alternatives and similar repositories for TEA-graph
Users that are interested in TEA-graph are comparing it to the libraries listed below
Sorting:
- ☆56Updated 2 years ago
- Tools to build deep learning pipelines.☆109Updated 11 months ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆83Updated last year
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆45Updated 4 years ago
- ☆57Updated 3 years ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆32Updated last year
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆44Updated 10 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…☆72Updated 8 months ago
- Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs m…☆25Updated 2 months ago
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆155Updated last year
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆24Updated 2 years ago
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆42Updated 5 months ago
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆20Updated last year
- Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometria…☆51Updated last year
- GrandQC tool for tissue detection and quality control in pathology☆70Updated 7 months ago
- Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell☆227Updated 2 years ago
- Standardized benchmark for computational pathology foundation models.☆107Updated 2 months ago
- CEll spatial Organization-based graph convolutional network☆26Updated last year
- A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular state revelation of gliom…☆37Updated 10 months ago
- Histopathology Image Analysis☆92Updated 2 years ago
- A Trained Network for Histopathology Image Representation☆19Updated last year
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆24Updated 2 years ago
- Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024☆141Updated 8 months ago
- Code from Foersch et al. (Under Construction / Development)☆37Updated 2 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆69Updated 2 years ago
- List of pathology feature extractors and foundation models☆154Updated 4 months ago
- Multimodal prototyping for cancer survival prediction - ICML 2024☆96Updated 8 months ago
- Solid Tumor Associative Modeling in Pathology☆92Updated this week
- Data and code to accompany our Nature publication☆46Updated 3 years ago
- [MICCAI 2023 Oral] The official code of "Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction" (top 9%)☆97Updated 7 months ago