AIRMEC / im4MEC
Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts'.
☆43Updated last year
Alternatives and similar repositories for im4MEC:
Users that are interested in im4MEC are comparing it to the libraries listed below
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆38Updated 4 months ago
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆31Updated 4 months ago
- Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs m…☆17Updated last month
- Tools to build deep learning pipelines.☆97Updated 5 months ago
- GrandQC tool for tissue detection and quality control in pathology☆37Updated last month
- First commit☆61Updated 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
- 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☆25Updated last year
- ☆51Updated last year
- A pan-cancer platform for mutation prediction from routine histology☆68Updated 3 years ago
- ☆13Updated last month
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆87Updated 4 months ago
- ☆53Updated 3 years ago
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆146Updated 11 months ago
- ☆14Updated 4 months ago
- MOMA☆53Updated last year
- Histopathology Slides Preprocessing Pipeline☆36Updated 3 weeks ago
- End-to-end pipeline to go from raw H&E slides to normalised extracted features for training☆25Updated last year
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year
- This repo provides the pipeline of processing TCGA whole-slide images for downstream pathology analysis.☆62Updated 3 weeks ago
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆19Updated 9 months ago
- CEll spatial Organization-based graph convolutional network☆24Updated last year
- Python library for processing whole slide images (WSIs) in sdpc format☆51Updated 2 months ago
- Scripts for data processing☆43Updated 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…☆58Updated 2 months ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆37Updated 4 years ago
- Tools for whole slide image (WSI) processing. Especially for (pairwise) patch extraction, annotation parsing and data preparation for dee…☆49Updated 4 months ago
- ☆19Updated 2 years ago