Computer-aided detection and diagnosis of breast cancer

被引：72

作者：

Vyborny, CJ

Giger, ML

Nishikawa, RM

机构：

[1] LaGrange Mem Hosp, Dept Radiol, La Grange, IL 60525 USA

[2] Univ Chicago, Dept Radiol, Chicago, IL 60637 USA

来源：

RADIOLOGIC CLINICS OF NORTH AMERICA | 2000年 / 38卷 / 04期

关键词：

D O I：

10.1016/S0033-8389(05)70197-4

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Sophisticated computer techniques are being applied to the interpretation of radiologic images with ever-increasing success. Computer vision and artificial intelligence form the basis for automated detection and characterization of lesions appearing on mammograms. Information of this kind can be supplied to radiologists to help improve their diagnostic performance. Computer-based methods have the potential to increase the yield of screening mammography for the detection of early breast cancer or to decrease the number of biopsies done for benign disease.

引用

页码：725 / +

页数：17

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