title: Image Retrieval Method for Multiscale Objects from Optical Colonoscopy Images.
abstract: Optical colonoscopy is the most common approach to diagnosing bowel diseases through direct colon and rectum inspections. Periodic optical colonoscopy examinations are particularly important for detecting cancers at early stages while still treatable. However, diagnostic accuracy is highly dependent on both the experience and knowledge of the medical doctor. Moreover, it is extremely difficult, even for specialist doctors, to detect the early stages of cancer when obscured by inflammations of the colonic mucosa due to intractable inflammatory bowel diseases, such as ulcerative colitis. Thus, to assist the UC diagnosis, it is necessary to develop a new technology that can retrieve similar cases of diagnostic target image from cases in the past that stored the diagnosed images with various symptoms of colonic mucosa. In order to assist diagnoses with optical colonoscopy, this paper proposes a retrieval method for colonoscopy images that can cope with multiscale objects. The proposed method can retrieve similar colonoscopy images despite varying visible sizes of the target objects. Through three experiments conducted with real clinical colonoscopy images, we demonstrate that the method is able to retrieve objects of any visible size and any location at a high level of accuracy.
authors.affiliation: National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center (AIRC), 1-1-1 Umezono, Tsukuba, Ibaraki 305-8560, Japan.
authors.forename: Hirokazu
authors.identifier: 0000-0003-0332-7028
authors.initials: H
authors.lastname: Nosato
authors.affiliation: National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center (AIRC), 1-1-1 Umezono, Tsukuba, Ibaraki 305-8560, Japan.
authors.forename: Hidenori
authors.initials: H
authors.lastname: Sakanashi
authors.affiliation: National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center (AIRC), 1-1-1 Umezono, Tsukuba, Ibaraki 305-8560, Japan.
authors.forename: Eiichi
authors.initials: E
authors.lastname: Takahashi
authors.affiliation: National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center (AIRC), 1-1-1 Umezono, Tsukuba, Ibaraki 305-8560, Japan.
authors.forename: Masahiro
authors.initials: M
authors.lastname: Murakawa
authors.affiliation: Toho University Sakura Medical Center, 564-1 Shimoshizu, Sakura, Chiba 285-8741, Japan.
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Aoki
authors.affiliation: Toho University Sakura Medical Center, 564-1 Shimoshizu, Sakura, Chiba 285-8741, Japan.
authors.forename: Ken
authors.initials: K
authors.lastname: Takeuchi
authors.affiliation: Toho University Sakura Medical Center, 564-1 Shimoshizu, Sakura, Chiba 285-8741, Japan.
authors.forename: Yasuo
authors.initials: Y
authors.lastname: Suzuki