MHMAILab / auto_lymph
Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning
☆36Updated 3 years ago
Alternatives and similar repositories for auto_lymph:
Users that are interested in auto_lymph are comparing it to the libraries listed below
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆24Updated 11 months ago
- Re-stained whole slide image alignment☆32Updated last year
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆42Updated 4 years ago
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year
- ☆52Updated 3 years ago
- Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs m…☆13Updated last month
- Class for getting ROIs and masks from annotated pyramidal images. A work in progress.☆12Updated 3 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
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆19Updated 4 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆52Updated 2 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆66Updated 2 years ago
- ☆36Updated 2 years ago
- ☆49Updated last year
- Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometria…☆41Updated last year
- Contains codes of DeepAttnMISL in MEDIA'20☆57Updated 4 years ago
- MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"☆37Updated 4 years ago
- Radiopathomics: a framework of fusing multi-scale images information to enrich description of tumor heterogeneity for LARC patients prior…☆21Updated 3 years ago
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆37Updated 2 months ago
- First commit☆60Updated 2 years ago
- Code related to the PANDA challenge on artificial intelligence for Gleason grading☆16Updated 3 years ago
- Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning☆27Updated 4 years ago
- Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine☆31Updated 2 years ago
- End-to-end pipeline to go from raw H&E slides to normalised extracted features for training☆25Updated 11 months ago
- ☆48Updated 2 months ago
- This repository contains the implementation of TILAb-score as described in the original paper.☆18Updated 5 years ago
- CEll spatial Organization-based graph convolutional network☆24Updated last year
- Whole Slide Images Segmentation using Patch UNet☆15Updated 4 years ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆60Updated 3 years ago
- DeeperHistReg - Source Code☆49Updated 10 months ago
- Whole Slide Image (WSI) Processing Library for Histopathological / Cytopathological Machine Learning Tasks☆24Updated last year