Dataset · Hugging Face

RationAI/MoNuSAC

Name: MoNuSAC
Creator: RationAI
License: cc-by-nc-sa-4.0
Keywords: task_categories:image-segmentation, task_ids:instance-segmentation, language:en, license:cc-by-nc-sa-4.0, size_categories:n<1K, format:parquet, modality:image, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us, medical, cell nuclei

MoNuSAC Description Dataset contains images from four distinct organs: Lung, Prostate, Kidney, and Breast. The images vary in size from 100 to 2000 px and are captured at 40x magnification, though the exact micrometers-per-pixel resolution is not provided. MoNuSAC provides annotations for four types of cell nuclei. The dataset is divided into a training set and a test set. The training set comprises 209 image patches and 31,411 annotated nuclei from 46 patients, while the… See the full description on the dataset page: https://huggingface.co/datasets/RationAI/MoNuSAC.

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Author / organization	RationAI
License (as declared)	cc-by-nc-sa-4.0
Downloads	180 (as reported by Hugging Face)
Likes	1
Created	21 April 2025
Last updated at source	21 April 2025

medicalcell nucleiH&E

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