yfzon / EPLALinks
A multi-instance learning on pathological images to predict MSI
☆14Updated 5 years ago
Alternatives and similar repositories for EPLA
Users that are interested in EPLA are comparing it to the libraries listed below
Sorting:
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆35Updated 4 years ago
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆44Updated 11 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
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆85Updated last year
- ☆57Updated 3 years ago
- ☆15Updated 11 months ago
- ☆57Updated 2 years ago
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆45Updated 5 years ago
- Code from Foersch et al. (Under Construction / Development)☆37Updated 2 years ago
- This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…☆42Updated 6 months ago
- Contains codes of DeepAttnMISL in MEDIA'20☆60Updated 4 years ago
- ☆17Updated 3 years ago
- Python library for processing whole slide images (WSIs) in sdpc format☆61Updated 10 months ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆32Updated last year
- ☆37Updated 2 years ago
- Code related to the PANDA challenge on artificial intelligence for Gleason grading☆18Updated 4 years ago
- End-to-end pipeline to go from raw H&E slides to normalised extracted features for training☆27Updated last year
- A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular state revelation of gliom…☆37Updated 11 months ago
- ☆54Updated 7 months ago
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆43Updated 6 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…☆77Updated 9 months ago
- ☆28Updated last year
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆157Updated last year
- Re-stained whole slide image alignment☆35Updated 2 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆70Updated 3 years ago
- MOMA☆53Updated last year
- Histopathology Slides Preprocessing Pipeline☆42Updated 8 months ago
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆98Updated last year
- ☆18Updated 4 years ago
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆24Updated 2 years ago