Matches in SemOpenAlex for { <https://semopenalex.org/work/W1967554913> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W1967554913 endingPage "652" @default.
- W1967554913 startingPage "645" @default.
- W1967554913 abstract "Purpose: Wireless capsule endoscopy (WCE) opens a new door for the digestive tract examination and diagnosis. However, the examination of its video data is tedious. This study aims to assist a physician to interpret a WCE video by segmenting it into different anatomic parts in the digestive tract. Methods: A two level WCE video segmentation scheme is proposed to locate the boundary between the stomach, small intestine, and large intestine. In the rough level, the authors utilize color feature to draw a dissimilarity curve for a WCE video and obtain an approximate boundary. Meanwhile, training data for the fine level segmentation can be collected automatically between the two approximate boundaries of organs to overcome the difficulty of training data collection in traditional approaches. In the fine level, color histogram in the HSI color space is used to segment the stomach and small intestine. Then, color uniform local binary pattern (CULBP) algorithm is applied for discrimination of the small intestine and large intestine, which includes two patterns, namely, color norm and color angle pattern. The CULBP feature is robust to variation of illumination and discriminative for classification. In order to increase the performance of support vector machine, the authors integrate it with the Adaboost approach. Finally, the authors refine the classification results to segment a WCE video into different parts, that is, the stomach, small intestine, and large intestine. Results: The average precision and recall are 91.2% and 90.6% for the stomach/small intestine classification, 89.2% and 88.7% for the small/large intestine discrimination. Paired t ‐test also demonstrates a significant better performance of the proposed scheme compared to some traditional methods. The average segmentation error is 8 frames for the stomach/small intestine discrimination, and 14 frames for the small/large intestine segmentation. Conclusions: The results have demonstrated that the new video segmentation method can accurately locate the boundary between different organ regions in a WCE video. Such a segmentation result may enhance the efficiency of WCE examination." @default.
- W1967554913 created "2016-06-24" @default.
- W1967554913 creator A5046543349 @default.
- W1967554913 creator A5066762019 @default.
- W1967554913 creator A5087869694 @default.
- W1967554913 creator A5090959478 @default.
- W1967554913 date "2015-01-12" @default.
- W1967554913 modified "2023-10-14" @default.
- W1967554913 title "Computer aided wireless capsule endoscopy video segmentation" @default.
- W1967554913 cites W1650175677 @default.
- W1967554913 cites W1975846642 @default.
- W1967554913 cites W2018510186 @default.
- W1967554913 cites W2037845672 @default.
- W1967554913 cites W2059416585 @default.
- W1967554913 cites W2082444727 @default.
- W1967554913 cites W2155783234 @default.
- W1967554913 cites W2163352848 @default.
- W1967554913 cites W2914885528 @default.
- W1967554913 cites W4239510810 @default.
- W1967554913 doi "https://doi.org/10.1118/1.4905164" @default.
- W1967554913 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25771558" @default.
- W1967554913 hasPublicationYear "2015" @default.
- W1967554913 type Work @default.
- W1967554913 sameAs 1967554913 @default.
- W1967554913 citedByCount "6" @default.
- W1967554913 countsByYear W19675549132017 @default.
- W1967554913 countsByYear W19675549132019 @default.
- W1967554913 countsByYear W19675549132021 @default.
- W1967554913 countsByYear W19675549132023 @default.
- W1967554913 crossrefType "journal-article" @default.
- W1967554913 hasAuthorship W1967554913A5046543349 @default.
- W1967554913 hasAuthorship W1967554913A5066762019 @default.
- W1967554913 hasAuthorship W1967554913A5087869694 @default.
- W1967554913 hasAuthorship W1967554913A5090959478 @default.
- W1967554913 hasConcept C115961682 @default.
- W1967554913 hasConcept C124504099 @default.
- W1967554913 hasConcept C126322002 @default.
- W1967554913 hasConcept C126838900 @default.
- W1967554913 hasConcept C138885662 @default.
- W1967554913 hasConcept C153180895 @default.
- W1967554913 hasConcept C154945302 @default.
- W1967554913 hasConcept C2776401178 @default.
- W1967554913 hasConcept C2777333622 @default.
- W1967554913 hasConcept C2777882243 @default.
- W1967554913 hasConcept C2961294 @default.
- W1967554913 hasConcept C31972630 @default.
- W1967554913 hasConcept C41008148 @default.
- W1967554913 hasConcept C41895202 @default.
- W1967554913 hasConcept C53533937 @default.
- W1967554913 hasConcept C71924100 @default.
- W1967554913 hasConcept C81669768 @default.
- W1967554913 hasConcept C87335442 @default.
- W1967554913 hasConcept C89600930 @default.
- W1967554913 hasConceptScore W1967554913C115961682 @default.
- W1967554913 hasConceptScore W1967554913C124504099 @default.
- W1967554913 hasConceptScore W1967554913C126322002 @default.
- W1967554913 hasConceptScore W1967554913C126838900 @default.
- W1967554913 hasConceptScore W1967554913C138885662 @default.
- W1967554913 hasConceptScore W1967554913C153180895 @default.
- W1967554913 hasConceptScore W1967554913C154945302 @default.
- W1967554913 hasConceptScore W1967554913C2776401178 @default.
- W1967554913 hasConceptScore W1967554913C2777333622 @default.
- W1967554913 hasConceptScore W1967554913C2777882243 @default.
- W1967554913 hasConceptScore W1967554913C2961294 @default.
- W1967554913 hasConceptScore W1967554913C31972630 @default.
- W1967554913 hasConceptScore W1967554913C41008148 @default.
- W1967554913 hasConceptScore W1967554913C41895202 @default.
- W1967554913 hasConceptScore W1967554913C53533937 @default.
- W1967554913 hasConceptScore W1967554913C71924100 @default.
- W1967554913 hasConceptScore W1967554913C81669768 @default.
- W1967554913 hasConceptScore W1967554913C87335442 @default.
- W1967554913 hasConceptScore W1967554913C89600930 @default.
- W1967554913 hasFunder F4320321001 @default.
- W1967554913 hasIssue "2" @default.
- W1967554913 hasLocation W19675549131 @default.
- W1967554913 hasLocation W19675549132 @default.
- W1967554913 hasOpenAccess W1967554913 @default.
- W1967554913 hasPrimaryLocation W19675549131 @default.
- W1967554913 hasRelatedWork W1566030314 @default.
- W1967554913 hasRelatedWork W1778951818 @default.
- W1967554913 hasRelatedWork W1966028303 @default.
- W1967554913 hasRelatedWork W2396912247 @default.
- W1967554913 hasRelatedWork W2537156416 @default.
- W1967554913 hasRelatedWork W2560749169 @default.
- W1967554913 hasRelatedWork W2905622784 @default.
- W1967554913 hasRelatedWork W2990472155 @default.
- W1967554913 hasRelatedWork W3024593842 @default.
- W1967554913 hasRelatedWork W2181817726 @default.
- W1967554913 hasVolume "42" @default.
- W1967554913 isParatext "false" @default.
- W1967554913 isRetracted "false" @default.
- W1967554913 magId "1967554913" @default.
- W1967554913 workType "article" @default.