A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography.

Adenomatous polyps in the colon are believed to be the precursor to colorectal carcinoma, the second leading cause of cancer deaths in United States. In this paper, we propose a new method for computer-aided detection of polyps in computed tomography (CT) colonography (virtual colonoscopy), a techni...

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Publicat a:	IEEE Transactions on medical imaging 20, 12 (2001).
Autor principal:	Gokturk, S.B
Format:	Article
Idioma:	English
Matèries:	CT colonography. United States. Adenomatous polyps. Air-inflated cleansed colon. Candidate polyps. Colorectal carcinoma. Computer aided diagnosis. Computer-aided detection. Cross-validation experiments. False positives. Healthy tissue. Medical diagnostic imaging. New cases classification. Polyps. Random orthogonal shape sections method. Reliable shape signatures. Sensitivity level. Statistical 3-D pattern processing method. Statistical approach. Support vector machines. Virtual colonoscopy.