sedab / PathCNN
Pathology image classifier architecture
☆12Updated 5 years ago
Alternatives and similar repositories for PathCNN:
Users that are interested in PathCNN 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
- Class for getting ROIs and masks from annotated pyramidal images. A work in progress.☆12Updated 3 years ago
- This repository contains the implementation of TILAb-score as described in the original paper.☆18Updated 5 years ago
- Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning☆27Updated 4 years ago
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆20Updated 8 months ago
- ☆16Updated 2 years ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆36Updated 4 years ago
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆25Updated last year
- Histopathology Image Analysis☆93Updated last year
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆29Updated 10 months ago
- A pan-cancer platform for mutation prediction from routine histology☆68Updated 3 years ago
- Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs m…☆16Updated 2 weeks ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆66Updated 2 years ago
- Data and code to accompany our Nature publication☆45Updated 2 years ago
- Pipeline for computational pathology☆34Updated last year
- ☆52Updated 3 years ago
- First commit☆60Updated 2 years ago
- ☆43Updated last year
- CEll spatial Organization-based graph convolutional network☆24Updated last year
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆42Updated 4 years ago
- predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer☆103Updated 5 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…☆58Updated last month
- [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
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆75Updated 4 years ago
- HCC_Deep_learning☆19Updated 4 years ago
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆38Updated 3 months ago
- ☆47Updated 2 years ago