Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4958171 | Computer Methods and Programs in Biomedicine | 2017 | 14 Pages |
Abstract
The nipple location can be a very important piece of information in the process of a DBT image registration. This paper presents a method for the automatic nipple detection in a DBT image. The extracted nipple location plays an essential role in classifying any existing lesions and comparing both the right and left breasts. Thus, the proposed method can help with computer-aided detection for a more efficient DBT image analysis.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Seung-Hoon Chae, Ji-Wook Jeong, Jang-Hwan Choi, Eun Young Chae, Hak Hee Kim, Young-Wook Choi, Sooyeul Lee,