Dataset of breast ultrasound images

被引：971

作者：

Al-Dhabyani, Walid ^{[1
]}

Gomaa, Mohammed ^{[2
]}

Khaled, Hussien ^{[2
]}

Fahmy, Aly ^{[1
]}

机构：

[1] Cairo Univ, Fac Comp & Artificial Intelligence, Giza, Egypt

[2] Cairo Univ, Natl Canc Inst, Giza, Egypt

来源：

DATA IN BRIEF | 2020年 / 28卷

关键词：

Ultrasound; Breast cancer; Medical images; Dataset; Deep learning; Classification; Segmentation; Detection;

D O I：

10.1016/j.dib.2019.104863

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

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. (C) 2019 The Authors. Published by Elsevier Inc.

引用

页数：5