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
- Class for getting ROIs and masks from annotated pyramidal images. A work in progress.☆12Updated 3 years ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆25Updated last year
- ☆16Updated 2 years ago
- This repository contains the implementation of TILAb-score as described in the original paper.☆18Updated 5 years ago
- predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer☆104Updated 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
- Re-stained whole slide image alignment☆33Updated last year
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆25Updated last year
- Code and GUI for Feature-driven Local Cell Graph (FLocK): New Computational Pathology based descriptors☆15Updated last year
- Data and code to accompany our Nature publication☆45Updated 2 years ago
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆42Updated 4 years ago
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆18Updated 4 years ago
- ☆47Updated 2 years ago
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆29Updated 11 months ago
- Remove pen-marking annotations on whole slide images(WSIs) for data achiving.☆18Updated 2 years ago
- Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs m…☆17Updated last month
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆19Updated 9 months ago
- Toolbox for measuring adversarial robustness to many transforms☆19Updated 2 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆53Updated last year
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆37Updated 4 years ago
- A pan-cancer platform for mutation prediction from routine histology☆68Updated 3 years ago
- Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726☆25Updated 3 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆67Updated 2 years ago
- Pipeline for computational pathology☆34Updated last year
- Tools to build deep learning pipelines.☆99Updated 5 months ago
- Repository for DCIS segmentation pipeline☆12Updated 2 years ago
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆76Updated 4 years ago
- ☆53Updated 3 years ago
- First commit☆61Updated 2 years ago
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year