DeepMicroscopy / MITOS_WSI_CMCLinks
Large-Scale Canine Mammary Carcinoma Dataset for Mitotic Figure Assessment on Whole Slide Images
☆21Updated 3 months ago
Alternatives and similar repositories for MITOS_WSI_CMC
Users that are interested in MITOS_WSI_CMC are comparing it to the libraries listed below
Sorting:
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆69Updated 2 years ago
- Whole Slide Digital Pathology Image Tissue Localization☆45Updated last year
- ☆45Updated 2 years ago
- Histopathology Image Analysis☆92Updated 2 years ago
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆76Updated 5 years ago
- MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"☆39Updated 4 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆73Updated 8 months ago
- Some stain normalization code☆90Updated 2 years ago
- Large-Scale Canine Cutaneous Mast Cell Tumor Dataset for Mitotic Figure Assessment on Whole Slide Images☆29Updated 3 months ago
- Re-stained whole slide image alignment☆35Updated last year
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆57Updated 2 years ago
- Interactive Segmentation of Nucleus☆66Updated 2 years ago
- A pipeline to segment tissue from the background in histological images☆69Updated 2 years ago
- Use this to download all elements of the BCSS dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourc…☆165Updated 3 years ago
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆79Updated 2 years ago
- ☆18Updated 4 years ago
- DeepLearning - Camelyon16 dataset☆126Updated 6 years ago
- ☆30Updated 5 years ago
- HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)☆94Updated 5 years ago
- This repository provides scripts to reproduce the results in the paper "An annotation-free whole-slide training approach to pathological …☆64Updated 3 years ago
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆105Updated 10 months ago
- Full package for applying deep learning to virtual slides.☆69Updated 7 years ago
- Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch samplin…☆163Updated last year
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆54Updated 3 years ago
- ☆63Updated 11 months ago
- List of academic institutes/companies working on computer-based digital pathology image analysis☆43Updated last month
- ☆35Updated 2 years ago
- Python wrapper library for PMA.start, a universal viewier for whole slide imaging and microscopy☆31Updated 9 months 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
- Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering☆108Updated 2 years ago