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http://dx.doi.org/10.3745/KTSDE.2017.10.493

Association-Based Knowledge Model for Supporting Diagnosis of a Capsule Endoscopy  

Hwang, Gyubon (아주대학교 전자공학과)
Park, Ye-Seul (아주대학교 전자공학과)
Lee, Jung-Won (아주대학교 전자공학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.6, no.10, 2017 , pp. 493-498 More about this Journal
Abstract
Capsule endoscopy is specialized for the observation of small intestine that is difficult to access by general endoscopy. The diagnostic procedure through capsule endoscopy consists of three stages: examination of indicant, endoscopy, and diagnosis. At this time, key information needed for diagnosis includes indicant, lesions, and suspected disease information. In this paper, these information are defined as semantic features and the extracting process is defined as semantic-based analysis. It is performed in whole capsule endoscopy. First, several symptoms of patient are checked before capsule endoscopy to get some information on suspected disease. Next, capsule endoscopy is performed by checking the suspected diseases. Finally, diagnosis is concluded by using supporting information. At this time, some association are used to conclude diagnosis. For example, there are the disease association between the symptom and the disease to identify the expected disease, and the anatomical association between the location of the lesion and supporting information. However, existing knowledge models such as MST and CEST only lists the simple term related to endoscopy and cannot consider such semantic associations. Therefore, in this paper, we propose association-based knowledge model for supporting diagnosis of capsule endoscopy. The proposed model is divided into two; a disease model and anatomical model of small intestine, interesting area(organs) of capsule endoscopy. It can effectively support diagnosis by providing key information for capsule endoscopy.
Keywords
Capsule Endoscopy; Diagnosis Support; Small Intestine; Knowledge Model; Modeling;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Ministry of Health, Welfare and Family Affairs, Cancer Registration Statistics, "61 carcinoma / gender cancer incidence, relative frequency, incidence rate, age standardization incidence," 2014.
2 J. R. Eun and B. I. Jang, "The Usefulness of Capsule Endoscopy in Diagnosis of Small Bowel Diseases," Yeungnam Univ. J. of Med., Vol.23, No.1, pp.45-51, 2006.   DOI
3 Douglas O. Faigel and David R. Cave, "Capsule endoscopy," Saunders Elsevier, 2008.
4 Lars Aabakken, et al., "Minimal standard terminology for gastrointestinal endoscopy-MST 3.0," World Endoscopy Organization, 2016.
5 L. Y. Korman, et al., "Capsule endoscopy structured terminology (CEST): proposal of a standardized and structured terminology for reporting capsule endoscopy procedures," Endoscopy, Vol.37, pp.951-959, 2005.   DOI
6 B. I. Jang, H. J. Chun, and M. G. Choi, "Korean Society of Gastrointestinal Endoscopy (KSGE) Guidelines for Credentialing and Granting Previleges for Capsule Endoscopy," The Korean Journal of Gastrointestinal Endoscopy, Vol.37, pp.393-402, 2008.
7 Sonia Mhiri, Sylvie Despres, and Ezzeddine Zagrouba, "Ontologies For The Semantic-Based Medical Image Indexing: An Overview," IKE, 2008.
8 Ki-yun Kim and Tae-kwon Kim, "Recent Advances in Medical Image Processing and Diagnosis Technology for Capsule Endoscope Systems," KICS, Vol.38, No.9, pp.802-812, 2013.
9 Van Gossum, Andre, "Image-enhanced capsule endoscopy for characterization of small bowel lesions," Best Practice & Research Clinical Gastroenterology, Vol.29, No.4, pp.525-531, 2015.   DOI
10 Dimitris K. Iakovidis, et al., "An ontology of image representations for medical image mining," in Proceedings of the 9th International Conference on Information Technology and Applications in Biomedicine, 2009.
11 Camille Kurtz, et al., "On combining image-based and ontological semantic dissimilarities for medical image retrieval applications," Medical Image Analysis, Vol.18, No.7, pp.1082-1100, 2014.   DOI