Breast cancer dataset with biomarker Biglycan.

Abstract

This dataset is composed of photomicrographs of the immunohistochemical expression of Biglycan (BGN) in breast tissue, with and without cancer, using only the staining of 3-3' diaminobenzidine (DAB), after processing images with color deconvolution plugin, from Image J. The immunohistochemical DAB expression of BGN was obtained using the monoclonal antibody (M01) (clone 4E1-1G7 - Abnova Corporation, mouse anti-human). Photomicrographs were obtained, under standard conditions, using an optical microscope, with UPlanFI 100x objective (resolution: 2.75 mm), yielding an image size of 4800 × 3600 pixels. After color deconvolution, the dataset with 336 images was divided into 2 two categories: (I) with cancer and (II) without cancer. This dataset allows the training and validation of machine learning models to diagnose, recognize and classify the presence of breast cancer, using the intensity of the colors of the BGN.

• Authors: Pedro Clarindo da Silva Neto, Rafael Kunst, Jorge Luis Victoria Barbosa, Ana Paula Thiesen Leindecker, Ricardo F Savaris
• Journal: Data in brief (Data Brief) Vol. 47 Pg. 108978 (Apr 2023) ISSN: 2352-3409 [Electronic] Netherlands
• PMID: 36879615 (Publication Type: Journal Article)
• Copyright: © 2023 The Authors. Published by Elsevier Inc.