全球人工智能乳腺X线摄影解读乳腺癌差异的数据集：代表性、趋势和公平性的科学计量分析

资源简介

全球人工智能乳腺X线摄影解读乳腺癌差异的数据集：代表性、趋势和公平性的科学计量分析

【数据集背景】

本数据集源站标题为《Dataset - Global disparities in artificial intelligence-based mammogram interpretation for breast cancer: A scientometric analysis of representation, trends, and equity》。项目资助方：SCH: Personalized Rescheduling of Adaptive Radiation Therapy for Head & Neck Cancer。源站首次发布：2025-06-16。

【数据内容】

源站原始描述：Dataset for the paper: Global disparities in artificial intelligence-based mammogram interpretation for breast cancer: A scientometric analysis of representation, trends, and equity Miyawaki, Isabele A. et al.European Journal of Cancer, Volume 220, 115394

【数据结构与技术规格】

文件数 1 个，合计 25.94 KB。data.csv：application/vnd.openxmlformats-officedocument.spreadsheetml.sheet，25.94 KB。数据集 DOI：10.6084/m9.figshare.29333198.v1。

【主题与分类】

源站学科分类：Artificial intelligence not elsewhere classified、Radiology and organ imaging、Cancer diagnosis。主题标签：Breast Cancer、Mammogram、Radiology、Mammography、Artificial Intelligence、Scientometric。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面：https://figshare.com/articles/dataset/Dataset_-_Global_disparities_in_artificial_intelligence-based_mammogram_interpretation_for_breast_cancer_A_scientometric_analysis_of_representation_trends_and_equity/29333198

使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。

规范引用：Miyawaki, Isabele; Banerjee, Imon; Batalini, Felipe; Alberto Campello Jorge, Carlos; Celi, Leo Anthony; Cobanaj, Marisa; et al. (2025). Dataset - Global disparities in artificial intelligence-based mammogram interpretation for breast cancer: A scientometric analysis of representation, trends, and…