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Proceedings Paper

A feasibility study for automatic lung nodule detection in chest digital tomosynthesis with machine learning based on support vector machine
Author(s): Hee-Joung Kim; Donghoon Lee; Ye-seul Kim; Sunghoon Choi; Haenghwa Lee; Byungdu Jo; Seungyeon Choi; Jungwook Shin
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Proc. SPIE MI3PS, Computer-Aided Diagnosis Posters, ; doi: 10.1117/12.2272073
Show Author Affiliations
Hee-Joung Kim, Yonsei Univ (Korea, Republic of)
Donghoon Lee, Yonsei Univ (Korea, Republic of)
Ye-seul Kim, Yonsei Univ (Korea, Republic of)
Sunghoon Choi, Yonsei Univ (Korea, Republic of)
Haenghwa Lee, Yonsei Univ (Korea, Republic of)
Byungdu Jo, Yonsei Univ (Korea, Republic of)
Seungyeon Choi, Yonsei Univ (Korea, Republic of)
Jungwook Shin, LISTEM Corporation (Korea, Republic of)


Published in SPIE Proceedings Vol. MI3PS:
Computer-Aided Diagnosis Posters
Samuel G. Armato; Nicholas A. Petrick, Editor(s)

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