Yoshiki Kawata, Noboru Niki, Hironobu Ohamatsu, Masahiko Kusumoto, Ryutaro Kakinuma, Kiyoshi Mori, Kouzo Yamada, Hiroyuki Nishiyama, Kenji Eguchi, Masahiro Kaneko, Noriyuki Moriyama. A visual data-mining approach using 3D thoracic CT images for classification between benign and malignant pulmonary nodules. In Milan Sonka, J. Michael Fitzpatrick, editors, Medical Imaging 2003: Image Processing, San Diego, California, United States, 15-20 February 2003. Volume 5032 of SPIE Proceedings, SPIE, 2003. [doi]
@inproceedings{KawataNOKKMYNEK03,
title = {A visual data-mining approach using 3D thoracic CT images for classification between benign and malignant pulmonary nodules},
author = {Yoshiki Kawata and Noboru Niki and Hironobu Ohamatsu and Masahiko Kusumoto and Ryutaro Kakinuma and Kiyoshi Mori and Kouzo Yamada and Hiroyuki Nishiyama and Kenji Eguchi and Masahiro Kaneko and Noriyuki Moriyama},
year = {2003},
doi = {10.1117/12.480648},
url = {https://doi.org/10.1117/12.480648},
researchr = {https://researchr.org/publication/KawataNOKKMYNEK03},
cites = {0},
citedby = {0},
booktitle = {Medical Imaging 2003: Image Processing, San Diego, California, United States, 15-20 February 2003},
editor = {Milan Sonka and J. Michael Fitzpatrick},
volume = {5032},
series = {SPIE Proceedings},
publisher = {SPIE},
isbn = {9780819448330},
}