BUS-BRA: A breast ultrasound dataset with BI-RADS categories
收藏Mendeley Data2024-06-27 更新2024-06-27 收录
下载链接:
https://zenodo.org/record/7730709
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资源简介:
The BUS-BRA Dataset is a publicly available dataset of anonymized breast ultrasound (BUS) images of 1,064 patients that underwent routinary breast studies. The BUS dataset contains biopsy-proven tumor cases and BI-RADS annotations in categories 2, 3, 4, and 5. In addition, the dataset also contains ground truth delineations that divide the BUS images into tumoral and normal regions. A full description of the BUS-BRA dataset can be found in the following article: Wilfrido Gómez-Flores, Maria Julia Gregorio-Calas, and Wagner Coelho de Albuquerque Pereira, "A Breast Ultrasound Dataset with BI-RADS Categories for Benchmarking Computer-aided Diagnosis Systems," Medical Physics, 2023. (In revision) Any research originating from its usage is required to cite this paper. The Program of Biomedical Engineering of the Federal University of Rio de Janeiro (PEB/COPPE-UFRJ, Brazil) has a copyright on the data and is the principal distributor of the BUS-BRA Dataset. In addition, the Centro de Investigación y de Estudios Avanzados (Cinvestav, Mexico) is involved in an ongoing effort to develop this dataset to aid research efforts in developing, testing, and evaluating algorithms for breast ultrasound analysis.
BUS-BRA数据集是一款公开可用的数据集,收录了1064名接受常规乳腺检查的患者的匿名化乳腺超声(Breast Ultrasound, BUS)图像。本数据集包含经活检证实的肿瘤病例,以及分类为2、3、4、5类的乳腺影像报告和数据系统(Breast Imaging Reporting and Data System, BI-RADS)标注信息。此外,本数据集还包含金标准轮廓标注,可将乳腺超声图像划分为肿瘤区域与正常区域。BUS-BRA数据集的完整说明可参阅以下论文:Wilfrido Gómez-Flores、Maria Julia Gregorio-Calas与Wagner Coelho de Albuquerque Pereira撰写的《用于计算机辅助诊断系统基准测试的带BI-RADS分类的乳腺超声数据集》,发表于《Medical Physics》2023年(处于审稿阶段)。任何基于本数据集开展的研究均需引用该论文。巴西里约热内卢联邦大学生物医学工程项目(PEB/COPPE-UFRJ, Brazil)持有本数据集的版权,且为BUS-BRA数据集的主要分发方。此外,墨西哥先进研究与研究中心(Centro de Investigación y de Estudios Avanzados, 简称Cinvestav, Mexico)正持续参与本数据集的开发优化工作,以助力乳腺超声分析算法的开发、测试与评估相关研究。
创建时间:
2023-06-28
搜集汇总
数据集介绍

背景与挑战
背景概述
BUS-BRA是一个公开的乳腺超声图像数据集,包含1,064名患者的匿名图像,具有BI-RADS分类和肿瘤区域标注,旨在支持计算机辅助诊断系统的研究和开发。数据集由PEB/COPPE-UFRJ和Cinvestav共同开发和分发,并需引用相关论文。
以上内容由遇见数据集搜集并总结生成



