Breast Cancer Wisconsin (Diagnostic)

UCI乳腺癌原始数据集是一个包含三组乳腺癌细胞病理学图像数据的乳腺癌数据集。特征是根据乳腺肿块的细针抽吸 (FNA) 的数字化图像计算得出的。他们描述了图像中出现的原子核的特征。
UCI乳腺癌原始数据集由普通外科William H. Wolberg博士1995年发布。W.尼克街，计算机科学系。Olvi L. Mangasarian，计算机科学系。相关论文有线性规划的乳腺癌诊断和预后等。

The original UCI Breast Cancer Dataset is a breast cancer dataset containing three sets of breast cancer cytopathological image data. The features are calculated from digitized images of fine-needle aspiration (FNA) of breast masses, and they describe the characteristics of the cell nuclei appearing in these images.
The original UCI Breast Cancer Dataset was published in 1995 by Dr. William H. Wolberg from the Department of General Surgery, W. Nick Street from the Department of Computer Science, and Olvi L. Mangasarian from the Department of Computer Science. Relevant papers include "Breast Cancer Diagnosis and Prognosis via Linear Programming", etc.

搜集汇总

背景与挑战

背景概述

Breast Cancer Wisconsin (Diagnostic)是由威斯康星大学于1995年发布的乳腺癌数据集，包含基于乳腺肿块细针抽吸数字化图像计算的细胞核特征数据，用于乳腺癌诊断和预后研究。