ysbecca / py-wsiLinks
Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.
☆163Updated last year
Alternatives and similar repositories for py-wsi
Users that are interested in py-wsi are comparing it to the libraries listed below
Sorting:
- Python Whole Slide Image Preprocessing☆296Updated 3 years ago
- A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge☆209Updated 6 years ago
- predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer☆103Updated 6 years ago
- Whole Slide Digital Pathology Image Tissue Localization☆45Updated 2 years ago
- Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.☆55Updated 3 years ago
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆75Updated 5 years ago
- A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.☆80Updated 3 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆69Updated 3 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆74Updated 10 months ago
- A pipeline to segment tissue from the background in histological images☆70Updated 2 years ago
- AI-based pathology predicts origins for cancers of unknown primary - Nature☆176Updated 4 years ago
- ☆345Updated 4 years ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆141Updated 4 years ago
- Pathologist-level interpretable whole-slide cancer diagnosis with deep learning☆131Updated 6 years ago
- DeepLearning - Camelyon16 dataset☆127Updated 7 years ago
- Full package for applying deep learning to virtual slides.☆71Updated 7 years ago
- An implementation of Unet for pytorch designed for digital pathology segmentation☆126Updated 3 years ago
- Pretrained model for self supervised histopathology☆120Updated 3 years ago
- HistoQC is an open-source quality control tool for digital pathology slides☆310Updated 2 weeks ago
- Fusing Histology and Genomics via Deep Learning - IEEE TMI☆324Updated 3 years ago
- Histopathology Image Analysis☆92Updated 2 years ago
- Some stain normalization code☆93Updated 3 years ago
- H&E histopathological staining normalization☆109Updated 5 years ago
- Interactive Segmentation of Nucleus☆66Updated 3 years ago
- This repository contains the implementation of TILAb-score as described in the original paper.☆18Updated 6 years ago
- Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering☆108Updated 2 years ago
- Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization in Histopathological H&E Images☆82Updated 4 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
- HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)☆94Updated 5 years ago
- Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning☆30Updated 5 years ago