BreaKHis dataset

Citation Author(s):: Alireza
Saadatmand

MCI
Submitted by:: Alireza Saadatmand
Last updated:: Mon, 04/14/2025 - 15:09
DOI:: 10.21227/a6ss-5168
Data Format:: **.mat; *.png; *.jpg; *.exr;
Research Article Link:: breakhis
License:: Creative Commons Attribution

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Categories:: Medical Imaging
Keywords:: dimensionality reduction, PCA-CNN fusion, Medical Image Analysis, Computational optimization, Edge AI

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Abstract

About Dataset

Context

The Breast Cancer Histopathological Image Classification (BreakHis) is composed of 9,109 microscopic images of breast tumor tissue collected from 82 patients using different magnifying factors (40X, 100X, 200X, and 400X). To date, it contains 2,480 benign and 5,429 malignant samples (700X460 pixels, 3-channel RGB, 8-bit depth in each channel, PNG format). This database has been built in collaboration with the P&D Laboratory – Pathological Anatomy and Cytopathology, Parana, Brazil (http://www.prevencaoediagnose.com.br). We believe that researchers will find this database a useful tool since it makes future benchmarking and evaluation possible.

Instructions:

https://github.com/ARS1979ie/Optimizing-CNN-Efficiency/blob/main/optimiz...

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Documentation

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APCA_CNN_README.pdf	2.37 KB

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