Image Processing for Computer-Aided Diagnosis of Lung Cancer by CT( LSCT)

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Third IEEE Workshop on Applications of Computer Vision (WACV '96)

Sarasoto, FL

December 02-December 04

ISBN: 0-8186-7620-5

	ASCII Text	x
	Shinji Yamamoto, Hao Jiang, Mitsuomi Matsumoto, Yukio Tateno, Takeshi Iinuma, Toru Matsumoto, "Image Processing for Computer-Aided Diagnosis of Lung Cancer by CT( LSCT)," Applications of Computer Vision, IEEE Workshop on, pp. 236, Third IEEE Workshop on Applications of Computer Vision (WACV '96), 1996.

	BibTex	x
	@article{ 10.1109/ACV.1996.572061, author = {Shinji Yamamoto and Hao Jiang and Mitsuomi Matsumoto and Yukio Tateno and Takeshi Iinuma and Toru Matsumoto}, title = {Image Processing for Computer-Aided Diagnosis of Lung Cancer by CT( LSCT)}, journal ={Applications of Computer Vision, IEEE Workshop on}, volume = {0}, year = {1996}, isbn = {0-8186-7620-5}, pages = {236}, doi = {http://doi.ieeecomputersociety.org/10.1109/ACV.1996.572061}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Applications of Computer Vision, IEEE Workshop on TI - Image Processing for Computer-Aided Diagnosis of Lung Cancer by CT( LSCT) SN - 0-8186-7620-5 SP EP A1 - Shinji Yamamoto, A1 - Hao Jiang, A1 - Mitsuomi Matsumoto, A1 - Yukio Tateno, A1 - Takeshi Iinuma, A1 - Toru Matsumoto, PY - 1996 KW - Image processing KW - Mathematical morphology KW - Medical image KW - Lung cancer KW - Computer-aided diagnosis KW - X-ray CT VL - 0 JA - Applications of Computer Vision, IEEE Workshop on ER -

Shinji Yamamoto, Toyohashi University of Technology

Hao Jiang, Ministry of Posts and Telecommunications

Mitsuomi Matsumoto, Tokyo Metropolitan College of Allied Medical Science

Yukio Tateno, Tokyo Metropolitan College of Allied Medical Science

Takeshi Iinuma, Saitama Institute of Technology

Toru Matsumoto, National Institute of Radiological Science

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ACV.1996.572061

This paper reports the image processing technique for computer-aided diagnosis of lung cancer by CT(LSCT). LSCT is the newly developed mobile-type CT scanner for the mass screening of lung cancer by our project team. In this new LSCT system, one essential problem is the increase of image information to about 30 slices per person from 1 X-ray film. To solve this difficult problem, we tried to reduce the image information drastically to be displayed for the doctor, by image processing techniques.

Index Terms:

Image processing, Mathematical morphology, Medical image, Lung cancer, Computer-aided diagnosis, X-ray CT

Citation:

Shinji Yamamoto, Hao Jiang, Mitsuomi Matsumoto, Yukio Tateno, Takeshi Iinuma, Toru Matsumoto, "Image Processing for Computer-Aided Diagnosis of Lung Cancer by CT( LSCT)," wacv, pp.236, Third IEEE Workshop on Applications of Computer Vision (WACV '96), 1996

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