Investigation of optimal feature value set in false positive reduction process for automated abdominal lymph node detection method

Yoshihiko Nakamura; Yukitaka Nimura; Takayuki Kitasaka; Shinji Mizuno; Kazuhiro Furukawa; Hidemi Goto; Michitaka Fujiwara; Kazunari Misawa; Masaaki Ito; Shigeru Nawano; Kensaku Mori

doi:10.1117/12.2082500

20 March 2015 Investigation of optimal feature value set in false positive reduction process for automated abdominal lymph node detection method

Yoshihiko Nakamura, Yukitaka Nimura, Takayuki Kitasaka, Shinji Mizuno, Kazuhiro Furukawa, Hidemi Goto, Michitaka Fujiwara, Kazunari Misawa, Masaaki Ito, Shigeru Nawano, Kensaku Mori

Author Affiliations +

Proceedings Volume 9414, Medical Imaging 2015: Computer-Aided Diagnosis; 94143N (2015) https://doi.org/10.1117/12.2082500
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

This paper presents an investigation of optimal feature value set in false positive reduction process for the automated method of enlarged abdominal lymph node detection. We have developed the automated abdominal lymph node detection method to aid for surgical planning. Because it is important to understand the location and the structure of an enlarged lymph node in order to make a suitable surgical plan. However, our previous method was not able to obtain the suitable feature value set. This method was able to detect 71.6% of the lymph nodes with 12.5 FPs per case. In this paper, we investigate the optimal feature value set in the false positive reduction process to improve the method for automated abdominal lymph node detection. By applying our improved method by using the optimal feature value set to 28 cases of abdominal 3D CT images, we detected about 74.7% of the abdominal lymph nodes with 11.8 FPs/case.

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Yoshihiko Nakamura, Yukitaka Nimura, Takayuki Kitasaka, Shinji Mizuno, Kazuhiro Furukawa, Hidemi Goto, Michitaka Fujiwara, Kazunari Misawa, Masaaki Ito, Shigeru Nawano, and Kensaku Mori "Investigation of optimal feature value set in false positive reduction process for automated abdominal lymph node detection method", Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94143N (20 March 2015); https://doi.org/10.1117/12.2082500

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