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'.
☆38Updated 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.☆34Updated 2 months ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆68Updated last year
- CEll spatial Organization-based graph convolutional network☆24Updated last year
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆29Updated 3 months ago
- A pan-cancer platform for mutation prediction from routine histology☆68Updated 3 years ago
- Tools to build deep learning pipelines.☆92Updated 3 months ago
- Scripts for data processing☆40Updated 8 months ago
- ☆49Updated last year
- First commit☆60Updated 2 years ago
- GrandQC tool for tissue detection and quality control in pathology☆25Updated last month
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆25Updated last year
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆41Updated 4 years ago
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆80Updated 2 months ago
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year
- ☆26Updated 2 years ago
- Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs m…☆13Updated 3 weeks ago
- Solid Tumor Associative Modeling in Pathology☆59Updated this week
- ☆52Updated 3 years ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆35Updated 3 years ago
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆20Updated 7 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…☆54Updated 2 weeks ago
- A vision language model for gigapixel whole slide images in histopathology☆34Updated 4 months ago
- ☆16Updated 2 years ago
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆75Updated 4 years ago
- HCC_Deep_learning☆19Updated 4 years ago
- Tools for whole slide image (WSI) processing. Especially for (pairwise) patch extraction, annotation parsing and data preparation for dee…☆48Updated 2 months ago
- A set of codes to classify H&E slides using deep learning☆29Updated 2 years ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆23Updated 10 months ago
- A Python library for deep learning on whole-slide images☆51Updated 3 years ago
- This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…☆36Updated 6 months ago