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README.md

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 ## Overview
 
 
-The [comprehensive dataset](https://sites.google.com/view/nucls/home?authuser=0) comprises over 220,000 labeled nuclei from breast cancer images sourced from [TCGA](https://www.cancer.gov/ccg/research/genome-sequencing/tcga), making it one of the largest datasets for nucleus detection, classification, and segmentation in hematoxylin and eosin-stained digital slides of breast cancer. This extensive labeling effort is the result of a collaboration among pathologists, pathology residents, and medical students, who utilized the Digital Slide Archive for annotation. The dataset serves multiple purposes, including the development and validation of algorithms for nuclear detection, classification, and segmentation. It is also valuable for conducting interrater analysis research. The dataset encompasses annotations from both single-rater and multi-rater evaluations, with this specific collection containing approximately 59,500 labeled nuclei from the corrected single-rater subset.
+The [comprehensive dataset](https://sites.google.com/view/nucls/home?authuser=0) comprises over 220,000 labeled nuclei from breast cancer images sourced from [TCGA](https://www.cancer.gov/ccg/research/genome-sequencing/tcga), making it one of the largest datasets for nucleus detection, classification, and segmentation in hematoxylin and eosin-stained digital slides of breast cancer. This extensive labeling effort is the result of a collaboration among pathologists, pathology residents, and medical students, who utilized the Digital Slide Archive for annotation. The dataset serves multiple purposes, including the development and validation of algorithms for nucleus detection, classification, and segmentation. It is also valuable for conducting interrater analysis research. The dataset encompasses annotations from both single-rater and multi-rater evaluations, with this specific collection containing approximately 59,500 labeled nuclei from the corrected single-rater subset.
 
 This [repository](https://github.com/PathologyDataScience/BCSS) contains the necessary information about the dataset associated with the following papers: