KatherLab / preProcessing
☆42Updated last year
Alternatives and similar repositories for preProcessing:
Users that are interested in preProcessing are comparing it to the libraries listed below
- Histopathology Image Analysis☆92Updated last year
- Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine☆31Updated 2 years ago
- Re-stained whole slide image alignment☆32Updated last year
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆28Updated 10 months ago
- Solid Tumor Associative Modeling in Pathology☆64Updated this week
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆66Updated 2 years ago
- ☆36Updated 2 years ago
- Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726☆25Updated 3 years ago
- Histopathology Slides Preprocessing Pipeline☆36Updated this week
- 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…☆59Updated last month
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆52Updated 2 years ago
- This repository contains the implementation of TILAb-score as described in the original paper.☆18Updated 5 years ago
- ☆52Updated 3 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆52Updated last year
- A pipeline to segment tissue from the background in histological images☆68Updated last year
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆24Updated 11 months ago
- A tutorial demonstration of pathml on an example dataset for the manuscript "PathML: A unified framework for WSI analysis with deep learn…☆22Updated 3 years ago
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year
- Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs m…☆15Updated last week
- A neural network software for using Molecular labelling to improve pathological annotation of H and E tissues☆31Updated last month
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆20Updated 8 months ago
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆25Updated last year
- Tools to build deep learning pipelines.☆94Updated 4 months ago
- Pipeline for computational pathology☆34Updated last year
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆68Updated last year
- Python 3 library for the augmentation & normalization of H&E images☆52Updated 2 years ago
- Toolbox for measuring adversarial robustness to many transforms☆19Updated 2 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
- Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.☆23Updated 4 years ago
- ☆57Updated 5 months ago