bryanhe / ST-Net
Deep learning on histopathology images.
☆115Updated 3 years ago
Alternatives and similar repositories for ST-Net:
Users that are interested in ST-Net are comparing it to the libraries listed below
- PyTorch implementation of HisToGene☆36Updated 3 years ago
- ☆56Updated last month
- Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning☆72Updated 5 months ago
- ☆37Updated 2 years ago
- Her2 Breast Cancer Project☆67Updated 2 years ago
- ☆120Updated 3 months ago
- ☆21Updated 2 weeks ago
- Train a model to predict gene expression from histology slides.☆96Updated 2 years ago
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆75Updated 4 years ago
- Code for the THItoGene☆20Updated 9 months ago
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆38Updated 3 months ago
- A pan-cancer platform for mutation prediction from routine histology☆68Updated 3 years ago
- Self-supervised representation learning combining GTEx histology, RNA-seq and WGS☆29Updated last week
- First commit☆60Updated 2 years ago
- GrandQC tool for tissue detection and quality control in pathology☆31Updated 2 weeks 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…☆58Updated last month
- ☆50Updated last year
- Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications☆50Updated last year
- ☆18Updated last year
- Tools to build deep learning pipelines.☆96Updated 4 months ago
- Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction☆13Updated last year
- A toolkit for integrating histology and spatial transcriptomics - NeurIPS 2024☆253Updated 3 weeks ago
- ☆27Updated 2 years ago
- ☆12Updated 6 months ago
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆29Updated 4 months ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆68Updated last year
- Data and code to accompany our Nature publication☆45Updated 2 years ago
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆26Updated last year
- Solid Tumor Associative Modeling in Pathology☆66Updated this week
- Super-resolved spatial transcriptomics by deep data fusion☆72Updated last year