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:
- Radiopathomics: a framework of fusing multi-scale images information to enrich description of tumor heterogeneity for LARC patients prior…☆22Updated 4 years ago
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆44Updated 10 months ago
- ☆17Updated 3 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
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆45Updated 4 years ago
- ☆57Updated 3 years ago
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆156Updated last year
- ☆56Updated 2 years ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆32Updated last year
- Contains codes of DeepAttnMISL in MEDIA'20☆60Updated 4 years ago
- ☆14Updated 10 months ago
- ☆18Updated 4 years ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆35Updated 4 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…☆73Updated 9 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
- MOMA☆53Updated last year
- Code from Foersch et al. (Under Construction / Development)☆37Updated 2 years ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆84Updated last year
- End-to-end pipeline to go from raw H&E slides to normalised extracted features for training☆27Updated last year
- Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometria…☆51Updated last year
- Re-stained whole slide image alignment☆35Updated 2 years ago
- CEll spatial Organization-based graph convolutional network☆26Updated last year
- ☆37Updated 2 years ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆61Updated 4 years ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆141Updated 4 years ago
- Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs m…☆25Updated 2 months ago
- Hierarchical Deep Multiple Instance Learning☆11Updated 2 years ago
- An MRI-pathology model (MRI-based Predicted Transformer for Prostate cancer (MRI-PTPCa)) was proposed to discover correlations between mp…☆26Updated 9 months ago
- Code related to the PANDA challenge on artificial intelligence for Gleason grading☆18Updated 4 years ago
- Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning☆28Updated 5 years ago