A general framework for wireless capsule endoscopy study synopsis.
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| Title: | A general framework for wireless capsule endoscopy study synopsis. |
|---|---|
| Authors: | Zhao, Qian1,2 kate.qzhao@gmail.com, Mullin, Gerard E.2, Meng, Max Q.-H.1, Dassopoulos, Themistocles3, Kumar, Rajesh2 |
| Source: | Computerized Medical Imaging & Graphics. Apr2015, Vol. 41, p108-116. 9p. |
| Subjects: | Capsule endoscopy, Computer diagnostic software, Hidden Markov models, Support vector machines, Information theory |
| Abstract: | We present a general framework for analysis of wireless capsule endoscopy (CE) studies. The current available workstations provide a time-consuming and labor-intense work-flow for clinicians which requires the inspection of the full-length video. The development of a computer-aided diagnosis (CAD) CE workstation will have a great potential to reduce the diagnostic time and improve the accuracy of assessment. We propose a general framework based on hidden Markov models (HMMs) for study synopsis that forms the computational engine of our CAD workstation. Color, edge and texture features are first extracted and analyzed by a Support Vector Machine classifier, and then encoded as the observations for the HMM, uniquely combining the temporal information during the assessment. Experiments were performed on 13 full-length CE studies, instead of selected images previously reported. The results (e.g. 0.933 accuracy with 0.933 recall for detection of polyps) show that our framework achieved promising performance for multiple classification. We also report the patient-level CAD assessment of complete CE studies for multiple abnormalities, and the patient-level validation demonstrates the effectiveness and robustness of our methods. [ABSTRACT FROM AUTHOR] |
| Copyright of Computerized Medical Imaging & Graphics is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 101342691 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A general framework for wireless capsule endoscopy study synopsis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Qian%22">Zhao, Qian</searchLink><relatesTo>1,2</relatesTo><i> kate.qzhao@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Mullin%2C+Gerard+E%2E%22">Mullin, Gerard E.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Meng%2C+Max+Q%2E-H%2E%22">Meng, Max Q.-H.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Dassopoulos%2C+Themistocles%22">Dassopoulos, Themistocles</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Rajesh%22">Kumar, Rajesh</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computerized+Medical+Imaging+%26+Graphics%22">Computerized Medical Imaging & Graphics</searchLink>. Apr2015, Vol. 41, p108-116. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Capsule+endoscopy%22">Capsule endoscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+diagnostic+software%22">Computer diagnostic software</searchLink><br /><searchLink fieldCode="DE" term="%22Hidden+Markov+models%22">Hidden Markov models</searchLink><br /><searchLink fieldCode="DE" term="%22Support+vector+machines%22">Support vector machines</searchLink><br /><searchLink fieldCode="DE" term="%22Information+theory%22">Information theory</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We present a general framework for analysis of wireless capsule endoscopy (CE) studies. The current available workstations provide a time-consuming and labor-intense work-flow for clinicians which requires the inspection of the full-length video. The development of a computer-aided diagnosis (CAD) CE workstation will have a great potential to reduce the diagnostic time and improve the accuracy of assessment. We propose a general framework based on hidden Markov models (HMMs) for study synopsis that forms the computational engine of our CAD workstation. Color, edge and texture features are first extracted and analyzed by a Support Vector Machine classifier, and then encoded as the observations for the HMM, uniquely combining the temporal information during the assessment. Experiments were performed on 13 full-length CE studies, instead of selected images previously reported. The results (e.g. 0.933 accuracy with 0.933 recall for detection of polyps) show that our framework achieved promising performance for multiple classification. We also report the patient-level CAD assessment of complete CE studies for multiple abnormalities, and the patient-level validation demonstrates the effectiveness and robustness of our methods. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computerized Medical Imaging & Graphics is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.compmedimag.2014.05.011 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 108 Subjects: – SubjectFull: Capsule endoscopy Type: general – SubjectFull: Computer diagnostic software Type: general – SubjectFull: Hidden Markov models Type: general – SubjectFull: Support vector machines Type: general – SubjectFull: Information theory Type: general Titles: – TitleFull: A general framework for wireless capsule endoscopy study synopsis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhao, Qian – PersonEntity: Name: NameFull: Mullin, Gerard E. – PersonEntity: Name: NameFull: Meng, Max Q.-H. – PersonEntity: Name: NameFull: Dassopoulos, Themistocles – PersonEntity: Name: NameFull: Kumar, Rajesh IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 08956111 Numbering: – Type: volume Value: 41 Titles: – TitleFull: Computerized Medical Imaging & Graphics Type: main |
| ResultId | 1 |
