KatherLab / end2end-WSI-preprocessingLinks
End-to-end pipeline to go from raw H&E slides to normalised extracted features for training
☆27Updated last year
Alternatives and similar repositories for end2end-WSI-preprocessing
Users that are interested in end2end-WSI-preprocessing are comparing it to the libraries listed below
Sorting:
- ☆57Updated 3 years ago
- ☆37Updated 2 years ago
- Histopathology Slides Preprocessing Pipeline☆42Updated 8 months ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆55Updated 3 years ago
- Feather - Lightweight supervised slide foundation models (ICML 2025)☆106Updated 3 months ago
- machine-readable information for the TCGA dataset, mirrored from other sources☆21Updated 3 years ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆32Updated last year
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆45Updated 11 months ago
- Solid Tumor Associative Modeling in Pathology☆98Updated last week
- ☆54Updated 7 months ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆84Updated last year
- Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs m…☆25Updated 2 months ago
- Pipeline for computational pathology☆38Updated last year
- Code from Foersch et al. (Under Construction / Development)☆37Updated 2 years ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆35Updated 4 years ago
- ☆27Updated 9 months 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…☆74Updated 9 months ago
- Tools to build deep learning pipelines.☆110Updated last year
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆29Updated last year
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆24Updated 2 years ago
- ☆71Updated 4 years ago
- GPU-accelerated stain normalization command line tool☆23Updated 2 years ago
- Multimodal prototyping for cancer survival prediction - ICML 2024☆101Updated 8 months 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
- ☆15Updated 10 months ago
- Repository for the Giga-SSL paper☆25Updated last year
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆157Updated last year
- Efficient Approach for Guided Local Examination in Digital Pathology☆29Updated 6 months ago
- Histopathology Image Analysis☆92Updated 2 years ago
- This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…☆42Updated 6 months ago