pearcetm / svs-deidentifier
Strip potentially identifying label and macro images from Aperio SVS whole slide image files
☆26Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for svs-deidentifier
- Pipeline for computational pathology☆34Updated 10 months ago
- Solid Tumor Associative Modeling in Pathology☆47Updated 2 months ago
- QuPath extension to work with WSInfer - https://wsinfer.readthedocs.io/☆22Updated 2 months ago
- Delete the label from a whole-slide image☆58Updated 3 years ago
- ☆40Updated 2 years ago
- Quality control of whole-slide images through multi-class semantic segmentation of artifacts☆28Updated 9 months ago
- 🔬 Code-free deep segmentation for computational pathology☆52Updated 5 months ago
- Python 3 library for the augmentation & normalization of H&E images☆51Updated 2 years ago
- Whole Slide image (WSI) conversion for brightfield histology images☆33Updated this week
- 🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images☆59Updated 4 months ago
- An open-source digital pathology based rapid image annotation tool☆74Updated this week
- ☆23Updated 2 weeks ago
- ☆53Updated last month
- Re-stained whole slide image alignment☆31Updated last year
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆27Updated 6 months ago
- ☆12Updated last year
- GPU-accelerated stain normalization command line tool☆19Updated last year
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆46Updated 2 years ago
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆49Updated last year
- Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning☆25Updated 4 years ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆64Updated 9 months ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆52Updated last year
- A Python library for deep learning on whole-slide images☆50Updated 3 years ago
- Interactive Segmentation of Nucleus☆61Updated 2 years ago
- A Girder plugin for pathology image annotations and analysis.☆57Updated this week
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆20Updated 4 months ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆18Updated 7 months ago
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆93Updated 2 weeks ago
- The official deployment of the Digital Slide Archive and HistomicsTK.☆110Updated last week
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆65Updated last year