Polyp Detection and Segmentation from Video Capsule Endoscopy: A Review
Video capsule endoscopy (VCE) is used widely nowadays for visualizing the gastrointestinal (GI) tract. Capsule endoscopy exams are prescribed usually as an additional monitoring mechanism and can help in identifying polyps, bleeding, etc. To analyze the large scale video data produced by VCE exams,...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-12-01
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| Series: | Journal of Imaging |
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| Online Access: | http://www.mdpi.com/2313-433X/3/1/1 |
| _version_ | 1818325015659020288 |
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| author | V. B. Surya Prasath |
| author_facet | V. B. Surya Prasath |
| author_sort | V. B. Surya Prasath |
| collection | DOAJ |
| description | Video capsule endoscopy (VCE) is used widely nowadays for visualizing the gastrointestinal (GI) tract. Capsule endoscopy exams are prescribed usually as an additional monitoring mechanism and can help in identifying polyps, bleeding, etc. To analyze the large scale video data produced by VCE exams, automatic image processing, computer vision, and learning algorithms are required. Recently, automatic polyp detection algorithms have been proposed with various degrees of success. Though polyp detection in colonoscopy and other traditional endoscopy procedure based images is becoming a mature field, due to its unique imaging characteristics, detecting polyps automatically in VCE is a hard problem. We review different polyp detection approaches for VCE imagery and provide systematic analysis with challenges faced by standard image processing and computer vision methods. |
| first_indexed | 2024-12-13T11:37:46Z |
| format | Article |
| id | doaj.art-09ff94e8b8084c659bd97df09390ed29 |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-12-13T11:37:46Z |
| publishDate | 2016-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-09ff94e8b8084c659bd97df09390ed292022-12-21T23:47:44ZengMDPI AGJournal of Imaging2313-433X2016-12-0131110.3390/jimaging3010001jimaging3010001Polyp Detection and Segmentation from Video Capsule Endoscopy: A ReviewV. B. Surya Prasath0Computational Imaging and VisAnalysis (CIVA) Lab, Department of Computer Science, University of Missouri-Columbia, Columbia, MO 65211, USAVideo capsule endoscopy (VCE) is used widely nowadays for visualizing the gastrointestinal (GI) tract. Capsule endoscopy exams are prescribed usually as an additional monitoring mechanism and can help in identifying polyps, bleeding, etc. To analyze the large scale video data produced by VCE exams, automatic image processing, computer vision, and learning algorithms are required. Recently, automatic polyp detection algorithms have been proposed with various degrees of success. Though polyp detection in colonoscopy and other traditional endoscopy procedure based images is becoming a mature field, due to its unique imaging characteristics, detecting polyps automatically in VCE is a hard problem. We review different polyp detection approaches for VCE imagery and provide systematic analysis with challenges faced by standard image processing and computer vision methods.http://www.mdpi.com/2313-433X/3/1/1capsule endoscopycolorectalpolypsdetectionsegmentationreview |
| spellingShingle | V. B. Surya Prasath Polyp Detection and Segmentation from Video Capsule Endoscopy: A Review Journal of Imaging capsule endoscopy colorectal polyps detection segmentation review |
| title | Polyp Detection and Segmentation from Video Capsule Endoscopy: A Review |
| title_full | Polyp Detection and Segmentation from Video Capsule Endoscopy: A Review |
| title_fullStr | Polyp Detection and Segmentation from Video Capsule Endoscopy: A Review |
| title_full_unstemmed | Polyp Detection and Segmentation from Video Capsule Endoscopy: A Review |
| title_short | Polyp Detection and Segmentation from Video Capsule Endoscopy: A Review |
| title_sort | polyp detection and segmentation from video capsule endoscopy a review |
| topic | capsule endoscopy colorectal polyps detection segmentation review |
| url | http://www.mdpi.com/2313-433X/3/1/1 |
| work_keys_str_mv | AT vbsuryaprasath polypdetectionandsegmentationfromvideocapsuleendoscopyareview |