ruchikaverma-iitg / Nuclei-SegmentationLinks
This repository contains an implementation of a deep learning Mask R-CNN algorithm for nuclei segmentation from whole slide images of tissue sections using data from our MoNuSeg Challenge.
☆18Updated 5 years ago
Alternatives and similar repositories for Nuclei-Segmentation
Users that are interested in Nuclei-Segmentation are comparing it to the libraries listed below
Sorting:
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆54Updated 3 years ago
- Re-stained whole slide image alignment☆33Updated last year
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆72Updated 6 months ago
- [TMI'2021][ISBI MoNuSAC'2020] 11th place solution to Multi-organ nuclei segmentation and classification challenge.☆30Updated 4 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆68Updated 2 years ago
- 🔬 Code-free deep segmentation for computational pathology☆53Updated last year
- This repository includes the codes and descriptions to create a fully annotated dataset of nuclei from cryosectioned histological samples…☆39Updated 2 years ago
- Interactive Segmentation of Nucleus☆63Updated 2 years ago
- MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"☆38Updated 4 years ago
- Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.…☆34Updated 2 years ago
- The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.☆35Updated 2 years ago
- Coincides with blogpost for using geojson and shapely☆32Updated 4 years ago
- SEGmentation using Graphs with Inexact aNd Incomplete labels☆23Updated 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.☆104Updated 7 months ago
- StarDist PyTorch☆47Updated 2 years ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆61Updated 3 years ago
- Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medic…☆62Updated 3 years ago
- ☆24Updated 2 years ago
- Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning☆28Updated 4 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆55Updated 2 years ago
- GPU-accelerated stain normalization command line tool☆22Updated last year
- Don't mix, match! Simple utilities for improved registration of Histopathology Whole Slide Images.☆11Updated 4 years ago
- An open-source digital pathology based rapid image annotation tool☆79Updated last week
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆36Updated 4 years ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆139Updated 3 years ago
- ☆35Updated 2 years ago
- ☆35Updated 2 years ago
- ☆18Updated 4 years ago
- Whole Slide Image (WSI) Processing Library for Histopathological / Cytopathological Machine Learning Tasks☆24Updated last year
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆79Updated 2 years ago