DIAGNijmegen / pathology-hooknetLinks
☆66Updated last year
Alternatives and similar repositories for pathology-hooknet
Users that are interested in pathology-hooknet are comparing it to the libraries listed below
Sorting:
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆107Updated 3 weeks ago
- GPU-accelerated stain normalization command line tool☆24Updated 2 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆57Updated 2 years ago
- ☆57Updated 3 years ago
- ☆37Updated 2 years ago
- Histopathology Image Analysis☆93Updated 2 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆70Updated 3 years ago
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆98Updated last year
- Gpu accelerated vahadane stain normalization for Digital Pathology workflows.☆25Updated last year
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆157Updated last year
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆142Updated 4 years ago
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆56Updated 2 years ago
- ☆102Updated 2 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆55Updated 3 years ago
- DeeperHistReg - Source Code☆78Updated last year
- Python library for processing whole slide images (WSIs) in sdpc format☆61Updated 10 months ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆32Updated last year
- Feather - Lightweight supervised slide foundation models (ICML 2025)☆116Updated 4 months ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆60Updated 4 years ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆85Updated last year
- ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) cla…☆68Updated 3 years ago
- Use this to download all elements of the BCSS dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourc…☆169Updated 3 years ago
- Histopathology Slides Preprocessing Pipeline☆42Updated 8 months ago
- This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…☆42Updated 6 months ago
- Tools for whole slide image (WSI) processing. Especially for (pairwise) patch extraction, annotation parsing and data preparation for dee…☆56Updated 11 months ago
- ☆71Updated 4 years ago
- Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis☆34Updated 5 years ago
- Stain normalization tools for histological analysis and computational pathology☆164Updated 3 weeks ago
- ☆54Updated 7 months ago
- Quality control of whole-slide images through multi-class semantic segmentation of artifacts☆38Updated last year