Borda / dataset-histology-landmarksLinks
Dataset: landmarks for registration of histology images
☆33Updated 4 years ago
Alternatives and similar repositories for dataset-histology-landmarks
Users that are interested in dataset-histology-landmarks are comparing it to the libraries listed below
Sorting:
- Framework for registration of sequential digitized histology slices☆28Updated 3 years ago
- BIRL: Benchmark on Image Registration methods with Landmark validations☆93Updated 3 years ago
- WSICS☆30Updated 6 years ago
- Whole Slide Digital Pathology Image Tissue Localization☆45Updated 2 years ago
- Digital Pathology Whole Slide Image Analysis Toolbox☆51Updated 2 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
- This repository contains adaptations of the state-of-the-art deep learning based object detection models for the detection of cell nuclei…☆26Updated 2 years ago
- A human in the loop solution to machine learning for pathologists (easy semantic segmentation of WSI)☆51Updated 5 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
- Full package for applying deep learning to virtual slides.☆71Updated 7 years ago
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆75Updated 5 years ago
- An implementation of Unet for pytorch designed for digital pathology segmentation☆126Updated 3 years ago
- Interactive Segmentation of Nucleus☆66Updated 2 years ago
- Survival Convolutional Neural Networks☆68Updated 2 years ago
- This repository contains the code necessary in order to reproduce the work contained in the submitted paper: "Segmentation of Nuclei in H…☆53Updated 5 years ago
- CNN based segmentation codes☆48Updated 2 years ago
- Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.☆55Updated 2 years ago
- ⚡ Open-source software for deep learning-based digital pathology☆138Updated last year
- Software used by the AGH team during the ANHIR challenge.☆28Updated 4 years ago
- Python scripts for automatic Whole-Slide Image preprocessing.☆36Updated 4 years ago
- Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: h…☆191Updated last year
- HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)☆94Updated 5 years ago
- SlideRunner is a tool for massive cell annotations in whole slide images☆79Updated 3 months ago
- ☆15Updated 6 years ago
- DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep …☆38Updated 4 years ago
- Weakly Supervised Mitosis Detection in Breast Histopathology Images using Concentric Loss☆25Updated 5 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆73Updated 9 months ago
- Evaluation code for CAMELYON16 challenge.☆27Updated 8 years ago
- ☆41Updated 7 years ago
- Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area☆51Updated 4 years ago