AIRMEC / HECTOR
Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.
☆38Updated 3 months ago
Alternatives and similar repositories for HECTOR:
Users that are interested in HECTOR are comparing it to the libraries listed below
- Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometria…☆42Updated last year
- ☆51Updated last year
- 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
- First commit☆61Updated 2 years ago
- ☆11Updated last month
- Tools to build deep learning pipelines.☆96Updated 4 months ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆68Updated last year
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆42Updated 4 years ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆24Updated 11 months ago
- GrandQC tool for tissue detection and quality control in pathology☆33Updated 3 weeks ago
- [MICCAI 2023 Oral] The official code of "Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction" (top 9%)☆92Updated 3 weeks ago
- CEll spatial Organization-based graph convolutional network☆24Updated last year
- Multimodal prototyping for cancer survival prediction - ICML 2024☆80Updated last month
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆20Updated 8 months ago
- Solid Tumor Associative Modeling in Pathology☆68Updated this week
- A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular state revelation of gliom…☆32Updated 3 months ago
- Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs m…☆17Updated 3 weeks ago
- A generative toolkit to translate H&E images to multiplexed IHC☆38Updated 3 months ago
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆26Updated last year
- End-to-end pipeline to go from raw H&E slides to normalised extracted features for training☆25Updated last year
- PyTorch implementation of HisToGene☆36Updated 3 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…☆58Updated last month
- ☆35Updated 2 years ago
- ☆16Updated 10 months ago
- A simple tool used for normalize whole slide images, support macenko, reinhard, vahadane (GPU accelerate)☆20Updated 5 months ago
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆84Updated 4 months ago
- This repo provides the pipeline of processing TCGA whole-slide images for downstream pathology analysis.☆62Updated last week
- A pan-cancer platform for mutation prediction from routine histology☆68Updated 3 years ago
- ☆52Updated 3 years ago
- ☆13Updated 4 months ago