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Cronh\u0027s disease is an inflammatory disease of the digestive tract. Symptoms of Crohn\u0027s disease includes ulcers and stenosis of the intestine. An optical endoscope is used for small intestine examinations. However, endoscope cannot pass through intestinal stenosis parts in some cases. Image-based diagnosis methods of Crohn\u0027s disease are researched as alternative choice of conventional methods. This paper proposes an automated detection method of convex and concave parts on surface of ulcers from fecal tagging CT images. Ulcers on the intestinal wall cause small convex and concave parts on them. The proposed method detects the convex and the concave parts by using local intensity structure analysis technique. To reduce false positives of the detection results, we introduce a false positive reduction process using a roughness value. The roughness value evaluates the amount of concentration of the detected regions. 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