Support system for lung cancer screening by CT

Hao Jiang; Nobuaki Masuto; Osamu Nishimura; Shinji Yamamoto; Shun-ichi Iisaku; Mitsuomi Matsumoto; Yukio Tateno; Takeshi Iinuma; Tohru Matsumoto

doi:10.1117/12.383063

18 April 2000 Support system for lung cancer screening by CT

Hao Jiang, Nobuaki Masuto, Osamu Nishimura, Shinji Yamamoto, Shun-ichi Iisaku, Mitsuomi Matsumoto, Yukio Tateno, Takeshi Iinuma, Tohru Matsumoto

Author Affiliations +

Proceedings Volume 3976, Medical Imaging 2000: Image Display and Visualization; (2000) https://doi.org/10.1117/12.383063
Event: Medical Imaging 2000, 2000, San Diego, CA, United States

Abstract

This paper presents a system for CAD of lung cancer screening by CT. The system consists of tow parts, automatic processing part and image based diagnosis part. The automatic processing part is to automatically detect the candidate regions of lung cancer based on the methods we proposed, and the image based diagnosis part is mainly used for doctor to make the mass screening. The result obtained by automatic processing part are provided to image based diagnosis pat as support information for increasing the performance of doctor screening.

Citation Download Citation

Hao Jiang, Nobuaki Masuto, Osamu Nishimura, Shinji Yamamoto, Shun-ichi Iisaku, Mitsuomi Matsumoto, Yukio Tateno, Takeshi Iinuma, and Tohru Matsumoto "Support system for lung cancer screening by CT", Proc. SPIE 3976, Medical Imaging 2000: Image Display and Visualization, (18 April 2000); https://doi.org/10.1117/12.383063

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available