Optical colonoscopy is the most common approach to diagnosing bowel diseases through direct colon and rectum inspections.\nPeriodic optical colonoscopy examinations are particularly important for detecting cancers at early stages while still treatable.\nHowever, diagnostic accuracy is highly dependent on both the experience and knowledge of the medical doctor. Moreover, it\nis extremely difficult, even for specialist doctors, to detect the early stages of cancer when obscured by inflammations of the\ncolonic mucosa due to intractable inflammatory bowel diseases, such as ulcerative colitis. Thus, to assist the UC diagnosis, it is\nnecessary to develop a new technology that can retrieve similar cases of diagnostic target image from cases in the past that stored\nthe diagnosed images with various symptoms of colonic mucosa. In order to assist diagnoses with optical colonoscopy, this paper\nproposes a retrieval method for colonoscopy images that can cope with multiscale objects. The proposed method can retrieve\nsimilar colonoscopy images despite varying visible sizes of the target objects. Through three experiments conducted with real\nclinical colonoscopy images, we demonstrate that the method is able to retrieve objects of any visible size and any location at a\nhigh level of accuracy.
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