DigitalSlideArchive / CNNCellDetectionLinks
This repository contains adaptations of the state-of-the-art deep learning based object detection models for the detection of cell nuclei in histology images
☆26Updated 2 years ago
Alternatives and similar repositories for CNNCellDetection
Users that are interested in CNNCellDetection are comparing it to the libraries listed below
Sorting:
- A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.☆80Updated 3 years ago
- Digital Pathology Whole Slide Image Analysis Toolbox☆51Updated 2 years ago
- Dataset: landmarks for registration of histology images☆33Updated 4 years ago
- Whole Slide Digital Pathology Image Tissue Localization☆45Updated 2 years ago
- An implementation of Unet for pytorch designed for digital pathology segmentation☆126Updated 3 years ago
- Full package for applying deep learning to virtual slides.☆71Updated 7 years ago
- WSICS☆30Updated 6 years ago
- A High-Throughput Workflow for Preprocessing, Deep Learning Analytics and Interpretation in Digital Pathology☆42Updated 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
- 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
- CNN based segmentation codes☆48Updated 2 years ago
- SlideRunner is a tool for massive cell annotations in whole slide images☆79Updated 3 months ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆73Updated 9 months ago
- Handling whole-slide images with region-level annotations.☆10Updated 6 years ago
- U-net based segmentation of nuclei in microscopy images☆52Updated 7 years ago
- Analysis of results of the Data Science Bowl 2018☆22Updated 5 years ago
- An open-source digital pathology based rapid image annotation tool☆86Updated 2 weeks ago
- 🔬 Code-free deep segmentation for computational pathology☆56Updated last year
- ☆77Updated 10 months ago
- Stain normalization parameters used in the paper "F. Ciompi et al., The importance of stain normalization in colorectal tissue classifica…☆28Updated 6 years ago
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆75Updated 5 years ago
- Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization in Histopathological H&E Images☆82Updated 4 years ago
- Survival Convolutional Neural Networks☆68Updated 2 years ago
- HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)☆94Updated 5 years ago
- Python scripts for automatic Whole-Slide Image preprocessing.☆36Updated 4 years ago
- Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch samplin…☆164Updated last year
- ☆36Updated 2 years ago
- Interactive Segmentation of Nucleus☆66Updated 2 years ago
- A human in the loop solution to machine learning for pathologists (easy semantic segmentation of WSI)☆51Updated 5 years ago
- Multi-Instance-Learning to check breast cancer. An implementation of Patch-based Convolutional Neural Network for Whole Slide Tissue Imag…☆51Updated 7 years ago