xinzhen-lab / OC-predictionLinks
☆10Updated 2 years ago
Alternatives and similar repositories for OC-prediction
Users that are interested in OC-prediction are comparing it to the libraries listed below
Sorting:
- Scripts for data processing☆45Updated last year
- ☆29Updated 2 years ago
- A pan-cancer platform for mutation prediction from routine histology☆68Updated 4 years ago
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆24Updated last year
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆69Updated 9 months ago
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆44Updated 4 years ago
- HCC_Deep_learning☆19Updated 5 years ago
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆77Updated 4 years ago
- ☆12Updated last year
- Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometria…☆47Updated last year
- ☆20Updated 2 years ago
- Methods for training and interpreting deep radiogenomic neural networks☆14Updated 5 years ago
- Convolutional neural networks for extracting a "deep stroma score" from histological images of human cancer☆18Updated 5 years ago
- AI-based pathology predicts origins for cancers of unknown primary - Nature☆174Updated 3 years ago
- Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-parametric MRI base…☆14Updated 4 years ago
- ☆69Updated last year
- predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer☆103Updated 6 years ago
- Code for ST_IGI package☆30Updated last month
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆37Updated 3 months ago
- A tool to perform comprehensive analysis of high-dimensional radiomic datasets☆14Updated 3 years ago
- Using traditional machine learning and deep learning methods to predict stuff from TCGA pathology slides.☆18Updated 6 years ago
- ☆32Updated 5 months ago
- ☆14Updated 2 months ago
- ☆22Updated 10 months ago
- Fusion strategies to build multimodal predictors for the prediction of immunotherapy response in non-small cell lung cancer☆13Updated 7 months ago
- Survival Convolutional Neural Networks☆68Updated 2 years ago
- ☆48Updated 3 years ago
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆42Updated 8 months ago
- Radiopathomics: a framework of fusing multi-scale images information to enrich description of tumor heterogeneity for LARC patients prior…☆22Updated 4 years ago
- ☆85Updated last year