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김병호,김효종,정인경,장린,이정일,동석호,장영운,김광국,황일섭,김윤화 대한소화기내시경학회 1999 Clinical Endoscopy Vol.19 No.1
Although intestinal bleeding is known to occur in amyloidosis, it is rare as a presenting symptom or sole manifestation of the disease. We experienced a case of intestinal hemor-rhage in a 64-year old female patient with primary amyloidosis, kappa type. Antral muco-sal erosions were discovered and one shallow healing ulcer at the angle. Colonoscopy revealed multiple purplish nodules in the sigmoid colon and descending colon, as well as a large shallow ulcer with blood clots in the sigmoid colon which was suspected to be the intestinal hemorrhage site. Endoscopic biopsy established amyloidosis. Polarizing microscopy after Congo red staining and immunohistochemical staining identified primary amyloid, kappa type. A case of intestinal hemorrhage in patients with primary amyloidosis is presented and the literature is reviewed.
Adaptive Learning of Background Model for Crowd Scenes
Gwang-Gook Lee,Suhan Song,Ja-Young Yoon,Jae-Jun Kim,Whoi-Yul Kim 한국멀티미디어학회 2008 한국멀티미디어학회 국제학술대회 Vol.2008 No.-
Background modeling is widely employed in many surveillance applications. However, previous background modeling methods often fail under crowded circumstances. This paper proposes a background modeling method robust to crowded situation. The proposed method is based on the Gaussian mixture background model proposed by Grimson [6]. Adopting simple frame level analysis, the proposed method controls the learning rate of background model adaptively to the crowded ness of the scene. As a result, the proposed method works similar to the static background model in crowded scenes, but operates as the original Grimson model in normal scenes. Experiment showed that the proposed method increases the accuracy of background subtraction by 14% compared to the original algorithm proposed by Grimson in crowded scenes.