乳腺癌
乳腺超声检查
超声波
医学
分割
计算机科学
乳腺摄影术
放射科
人工智能
癌症
内科学
作者
Walid Al-Dhabyani,Mohammed Mohammed Mohammed Gomaa,Hussien Khaled,Aly Fahmy
出处
期刊:Data in Brief
[Elsevier BV]
日期:2019-11-21
卷期号:28: 104863-104863
被引量:1941
标识
DOI:10.1016/j.dib.2019.104863
摘要
Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of early deaths. The data presented in this article reviews the medical images of breast cancer using ultrasound scan. Breast Ultrasound Dataset is categorized into three classes: normal, benign, and malignant images. Breast ultrasound images can produce great results in classification, detection, and segmentation of breast cancer when combined with machine learning.
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