Skip to content

This repository contains my implementations of the algorithms which MoNuSAC participants could use for data preparation to train their models at ISBI 2020.

Notifications You must be signed in to change notification settings

ruchikaverma-iitg/MoNuSAC

Repository files navigation

Please cite the following paper if you use this repository-

Verma, Ruchika, et al. "MoNuSAC2020: A Multi-organ Nuclei Segmentation and Classification Challenge." IEEE Transactions on Medical Imaging (2021)

File name Description
Cell_counting Script to count cells (by type) in each image and store in an excel file
Binary_mask_generation Use H&E stained images(.svs) along with associated xml files to generate binary masks of each annotated cell-type
n-ary_mask_generation Use H&E stained images(.svs) along with associated xml files to generate n-ary masks of each annotated cell-type
Compute_PQ_metric Script to compute Panoptic Quality metric for each n-ary mask image, and store image names and respective PQ values in an excel file

About

This repository contains my implementations of the algorithms which MoNuSAC participants could use for data preparation to train their models at ISBI 2020.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published