A review of the current state of the computer-aided diagnosis (CAD) systems for breast cancer diagnosis

被引：23

作者：

Guo, Zicheng ^{[1
]}

Xie, Jiping ^{[1
]}

Wan, Yi ^{[1
]}

Zhang, Min ^{[1
]}

Qiao, Liang ^{[1
]}

Yu, Jiaxuan ^{[1
]}

Chen, Sijing ^{[1
]}

Li, Bingxin ^{[1
]}

Yao, Yongqiang ^{[1
]}

机构：

[1] Dalian Univ, Dept Breast & Thyroid Surg, Affiliated Zhongshan Hosp, 6 Jiefang Rd, Dalian 116001, Peoples R China

来源：

OPEN LIFE SCIENCES | 2022年 / 17卷 / 01期

关键词：

breast cancer; mammography; computer-aided diagnosis; ultrasound; MAMMOGRAPHIC DENSITY; LESIONS; RISK; FEATURES; MASSES;

D O I：

10.1515/biol-2022-0517

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Breast cancer is one of the most common cancers affecting females worldwide. Early detection and diagnosis of breast cancer may aid in timely treatment, reducing the mortality rate to a great extent. To diagnose breast cancer, computer-aided diagnosis (CAD) systems employ a variety of imaging modalities such as mammography, computerized tomography, magnetic resonance imaging, ultrasound, and histological imaging. CAD and breast-imaging specialists are in high demand for early detection and diagnosis. This system has the potential to enhance the partiality of traditional histopathological image analysis. This review aims to highlight the recent advancements and the current state of CAD systems for breast cancer detection using different modalities.

引用

页码：1600 / 1611

页数：12

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