Development of automated detection and classification methods of masses on 3D breast ultrasound images

被引：0

作者：

Hara, T ^{[1
]}

Fukuoka, D ^{[1
]}

Fujita, H ^{[1
]}

Endo, T ^{[1
]}

Moon, WK ^{[1
]}

机构：

[1] Gifu Univ, Dept Informat Sci, Gifu 5011193, Japan

来源：

CARS 2002: COMPUTER ASSISTED RADIOLOGY AND SURGERY, PROCEEDINGS | 2002年

关键词：

breast; ultrasound; computer-aided diagnosis;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We have developed a CAD system for masses on 3D breast ultrasound images and estimated the preliminary performance with about 200 cases. The detection and classification methods were based on edge detection and active balloon models to segment the mass regions. Volume rendering technique was also applied to prepare the 3D images to readers. It showed a good classification performance as an initial result. Especially, the classification performance showed a good rate because the cases employed in classifications scheme were difficult ones to discriminate by the ultrasound images in a physician's opinion, however the number of the case we used was not so large at this time.

引用

页码：794 / 799

页数：2