Recognition of lung nodules from X-ray CT images using 3D MRF models

International Congress Series

Volumn 1230, Issue C, 2001, Pages 605-614

  Takizawa, Hotaka ^a   Yamamoto, Shinji ^a   Matsumoto, Tohru ^b   Tateno, Yukio ^b   Iinuma, Takeshi ^b   Matsumoto, Mitsuomi ^c  

^a TOYOHASHI UNIVERSITY OF TECHNOLOGY   (Japan)

^b NATIONAL INSTITUTE OF RADIOLOGICAL SCIENCES   (Japan)

^c TOKYO METROPOLITAN UNIVERSITY   (Japan)

Author keywords

3D MRF models; Long nodules; X ray CT images

Indexed keywords

EID: 1442300235     PISSN: 05315131     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0531-5131(01)00108-X     Document Type: Article

References (3)

1. Yamamoto, S., Tanaka, I., Senda, M., Tateno, Y., Iinuma, T., Matsumoto, T., Matsumoto, M., Image processing for computer-aided diagnosis of lung cancer by CT(LSCT). Systems and Computers in Japan 25:2 (1994), 67–80.
2. Yamamoto, S., Matsumoto, M., Tateno, Y., Iinuma, T., Matshmoto, T., Quoit filter: a new filter based on mathematical morphology to extract the isolated shadow, and its application to automatic detection of lung cancer in X-ray CT. Proceedings of the 13th International Conference on Pattern Recognition II, 1996, 3–7.
3. Takizawa, H., Yamamoto, S., Fukano, G., Matsumoto, T., Tateno, Y., Iinuma, T., Matsumoto, M., Recognition of lung cancers from X-ray CT images considering 3-D structure of objects and uncertainty of recognition. Proceedings of Image Processing, part of SPIE 1 (2000), 998–1007.