DIAGNijmegen / pathology-streaming-pipelineLinks
Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.
☆78Updated 3 years ago
Alternatives and similar repositories for pathology-streaming-pipeline
Users that are interested in pathology-streaming-pipeline are comparing it to the libraries listed below
Sorting:
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆57Updated 2 years ago
- Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medic…☆61Updated 3 years ago
- Interactive Segmentation of Nucleus☆67Updated 3 years ago
- ☆43Updated 3 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆76Updated last year
- This repository provides scripts to reproduce the results in the paper "An annotation-free whole-slide training approach to pathological …☆64Updated 4 years ago
- Histopathology Image Analysis☆93Updated 2 years ago
- Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering☆111Updated 2 years ago
- Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.…☆34Updated 2 years ago
- ☆30Updated 6 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
- GPU-accelerated stain normalization command line tool☆24Updated 2 years ago
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆75Updated 5 years ago
- List of academic institutes/companies working on computer-based digital pathology image analysis☆45Updated 5 months ago
- This repository includes the codes and descriptions to create a fully annotated dataset of nuclei from cryosectioned histological samples…☆44Updated 2 years ago
- CoNIC Challenge☆69Updated last year
- HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)☆95Updated 6 years ago
- ☆46Updated 4 years ago
- Large-Scale Canine Cutaneous Mast Cell Tumor Dataset for Mitotic Figure Assessment on Whole Slide Images☆30Updated 7 months ago
- Code accompanying the paper Neural Image Compression for Gigapixel Histopathology Image Analysis☆49Updated 2 years ago
- Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings o…☆98Updated 4 years ago
- MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"☆38Updated 5 years ago
- CNN based segmentation codes☆48Updated 3 years ago
- Benchmarking toolkit for patch-based histopathology image classification.☆43Updated 2 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆55Updated 3 years ago
- ☆46Updated 2 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
- Framework for registration of sequential digitized histology slices☆28Updated 3 years ago
- Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets☆94Updated 2 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