brekhis 40X 八分类

在乳腺癌病理图像的分析研究中，数据集的构建是基础性工作。2016年，FabioA.Spanhol等[1]发布了乳腺癌组织病理图像分类数据集BreakHis，为乳腺癌病理图像研究奠定了重要基础。该数据集由82名患者的乳腺肿瘤组织显微图像组成，涵盖了4种不同的放大倍数（40X、100X、200X和400X），共计9109张图像。BreakHis数据集的发布为后续研究提供了标准化的测试平台，极大地推动了乳腺癌病理图像分类的研究进展。

In the research and analysis of breast cancer histopathological images, dataset construction is a fundamental task. In 2016, Fabio A. Spanhol et al. [1] released the BreakHis breast cancer histopathological image classification dataset, which laid an important foundation for breast cancer histopathological image research. This dataset consists of microscopic images of breast tumor tissues from 82 patients, covering 4 different magnifications (40X, 100X, 200X and 400X), with a total of 9109 images. The release of the BreakHis dataset has provided a standardized test platform for subsequent studies, greatly promoting the research progress of breast cancer histopathological image classification.

搜集汇总

背景与挑战

背景概述

该数据集是乳腺癌组织病理图像分类数据集BreakHis的一部分，包含40X放大倍数的乳腺肿瘤组织显微图像，用于乳腺癌病理图像分类研究。数据集由82名患者的图像组成，是乳腺癌病理图像研究的重要基础资源。