| A straightforward approach to computer-aided polyp detection using a polyp-specific volumetric feature in CT colonography. | |
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MedLine Citation:
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PMID: 21762887 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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This study presents a straightforward approach to computer-aided polyp detection and explores its advantages and future potential. A straightforward computer-aided polyp detection (CAD) scheme was developed that consisted of colon wall segmentation, a polyp-specific volumetric filter, and the counting and thresholding of cluster volume sizes. 65 patients had undergone the bowel cleaning scheme without fecal tagging and the optical colonoscopy (OC) and CT colonography (CTC) were performed. The polyp sizes determined by OC were used as reference measurements. The CTC dataset with 103 polyps were divided into training and test datasets. After tuning for the optimal parameter settings, the per-polyp sensitivities of the developed CAD scheme for clinically relevant polyps (≥6mm) were 100% at 8.5 false positives (FPs)/patient using the training dataset, and 93.3% at 7.7 FPs/patient using the test dataset. The developed CAD scheme was found to have a relatively high detection performance, easily optimized parameter settings, and an easily understood internal operation. |
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Authors:
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June-Goo Lee; Jong Hyo Kim; Se Hyung Kim; Hee Sun Park; Byung Ihn Choi |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-7-13 |
Journal Detail:
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Title: Computers in biology and medicine Volume: - ISSN: 1879-0534 ISO Abbreviation: - Publication Date: 2011 Jul |
Date Detail:
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Created Date: 2011-7-18 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 1250250 Medline TA: Comput Biol Med Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 Elsevier Ltd. All rights reserved. |
Affiliation:
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Interdisciplinary Program in Radiation Applied Life Science, Seoul National University College of Medicine, Seoul 110-799, South Korea; Department of Radiology, Seoul National University College of Medicine, Seoul 110-799, South Korea. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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