RubinLab / HCCSurvNet
☆12Updated 4 years ago
Alternatives and similar repositories for HCCSurvNet:
Users that are interested in HCCSurvNet are comparing it to the libraries listed below
- CEll spatial Organization-based graph convolutional network☆24Updated last year
- machine-readable information for the TCGA dataset, mirrored from other sources☆18Updated 2 years ago
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆30Updated 4 months ago
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆38Updated 3 months ago
- ☆27Updated 2 years ago
- ☆10Updated last month
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆26Updated last year
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆42Updated 4 years ago
- ☆19Updated 2 years ago
- Data and code to accompany our Nature publication☆45Updated 2 years ago
- ☆16Updated 2 years ago
- Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometria…☆42Updated last year
- ☆47Updated 2 years ago
- HCC_Deep_learning☆19Updated 4 years ago
- Gene mutation and pathway activity prediction from H&E slides☆33Updated 3 years ago
- GrandQC tool for tissue detection and quality control in pathology☆33Updated 3 weeks ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆35Updated 4 years ago
- Accurate encoding of histologic images into StyleGAN space for discovery and explainability☆10Updated 4 months ago
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year
- ECCV-AIMIA 2022 paper: "Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images"☆12Updated last year
- Scripts for data processing☆42Updated 9 months ago
- A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular state revelation of gliom…☆32Updated 3 months ago
- Self-supervised representation learning combining GTEx histology, RNA-seq and WGS☆29Updated 2 weeks ago
- ☆50Updated last year
- Radiopathomics: a framework of fusing multi-scale images information to enrich description of tumor heterogeneity for LARC patients prior…☆20Updated 3 years ago
- PyTorch implementation of HisToGene☆36Updated 3 years ago
- A set of codes to classify H&E slides using deep learning☆30Updated 3 years ago
- Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs m …☆17Updated 2 weeks ago
- ☆40Updated 3 years ago
- ☆24Updated last month