DIAGNijmegen / pathology-he-auto-augmentLinks
H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.
☆57Updated 2 years ago
Alternatives and similar repositories for pathology-he-auto-augment
Users that are interested in pathology-he-auto-augment are comparing it to the libraries listed below
Sorting:
- GPU-accelerated stain normalization command line tool☆24Updated 2 years ago
- Histopathology Image Analysis☆93Updated 2 years ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆59Updated 4 years ago
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆78Updated 3 years ago
- ☆67Updated last year
- ☆57Updated 4 years ago
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆109Updated 2 months ago
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆56Updated 2 years ago
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆99Updated last year
- ☆43Updated 3 years ago
- ☆38Updated 2 years ago
- Interactive Segmentation of Nucleus☆67Updated 3 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆76Updated last year
- Quality control of whole-slide images through multi-class semantic segmentation of artifacts☆38Updated 2 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆55Updated 3 years ago
- Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis☆34Updated 6 years ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆142Updated 4 years ago
- Some stain normalization code☆94Updated 3 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆72Updated 3 years ago
- Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets☆94Updated 2 years ago
- Toolbox for measuring adversarial robustness to many transforms☆19Updated 9 months ago
- 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
- ☆46Updated 4 years ago
- MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"☆38Updated 5 years ago
- This repository provides scripts to reproduce the results in the paper "An annotation-free whole-slide training approach to pathological …☆64Updated 4 years ago
- Pipeline for computational pathology☆37Updated 2 years ago
- Python 3 library for the augmentation & normalization of H&E images☆64Updated 3 years ago
- Variance pooling to incorporate ITH in CPath models - MICCAI 2022☆26Updated 3 years ago
- Gpu accelerated vahadane stain normalization for Digital Pathology workflows.☆25Updated last year
- Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)☆142Updated 3 years ago