Image Feature Extraction Method with SIFT to Diagnose Prostate Cancer

被引：0
|
作者：
Toki, Yoshiteru [1 ]
Tanaka, Toshiyuki [1 ]
机构：
[1] Keio Univ, Sch Sci & Technol, Keio, Kanagawa, Japan
来源：
2012 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE) | 2012年
关键词：
Image Processing; SIFT; Prostate Cancer;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Number of prostate cancer patients are increasing but diagnosing pathologists are not enough. Then supporting system to diagnose prostate cancer on biopsy image is needed by pathologists. However staining conditions of prostate biopsy images are uneven, so extracting their form by automatic method is difficult. Because of this problem, previous study aiming to diagnose each glandular needed to except imperfect extraction glandular. Then we propose new feature extraction method (Area Rates on Components and SIFT + BoK) aiming to improve accuracy on imperfect extracted glands. In our experiment, diagnosing accuracy is improved 6.3% similar to 13.3%.
引用
收藏
页码：2185 / 2188
页数：4
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