Paper
24 June 1998 Classification of intestine polyps
Shih-Chen Chou, Chiou-Shann Fuh, Ming Jium Shieh
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Abstract
In this paper, we present a method to classify hyperplastic and adenomatous polyps of large intestine semiautomatically. First, doctors locate the contour of the original polyp images by using other software package. We determine if there are gores on the polyp by using modified Sobel operator on eliminating specular reflection pixels of original color images. We then get the polyp's texture by summing the gradient magnitude of pixels within the polyps. After detecting the actual contour of the polyps, we can determined if the polyp's contour is obvious or not (i.e. if the polyp bulges smoothly or not). We then observe whether the polyp's color is redder than or whiter than its neighbors. Finally, we classify the polyp of the intestine by applying the above steps. The flow chart of classification is as shown. We apply our method on 77 color images with polyps of the intestine and compare the results with a doctor's diagnosis.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shih-Chen Chou, Chiou-Shann Fuh, and Ming Jium Shieh "Classification of intestine polyps", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310978
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KEYWORDS
Specular reflections

Intestine

Sensors

Image processing

RGB color model

Optical coherence tomography

Color image processing

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