Automatic Polyp Segmentation in Colonoscopy Images Using Single Network Model: SegNet

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Main Authors: Eu, Chin Yii, Tang, Tong Boon, Lu, Cheng-Kai
Format: Conference or Workshop Item
Published: 2022
Online Access:http://scholars.utp.edu.my/id/eprint/36458/
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spelling oai:scholars.utp.edu.my:364582023-06-19T02:41:54Z http://scholars.utp.edu.my/id/eprint/36458/ Automatic Polyp Segmentation in Colonoscopy Images Using Single Network Model: SegNet Eu, Chin Yii Tang, Tong Boon Lu, Cheng-Kai 2022 Conference or Workshop Item NonPeerReviewed Eu, Chin Yii and Tang, Tong Boon and Lu, Cheng-Kai (2022) Automatic Polyp Segmentation in Colonoscopy Images Using Single Network Model: SegNet. In: International Conference on Artificial Intelligence for Smart Community: AISC 2020, 17--18 December, Universiti Teknologi Petronas, Malaysia.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Conference or Workshop Item
author Eu, Chin Yii
Tang, Tong Boon
Lu, Cheng-Kai
spellingShingle Eu, Chin Yii
Tang, Tong Boon
Lu, Cheng-Kai
Automatic Polyp Segmentation in Colonoscopy Images Using Single Network Model: SegNet
author_facet Eu, Chin Yii
Tang, Tong Boon
Lu, Cheng-Kai
author_sort Eu, Chin Yii
title Automatic Polyp Segmentation in Colonoscopy Images Using Single Network Model: SegNet
title_short Automatic Polyp Segmentation in Colonoscopy Images Using Single Network Model: SegNet
title_full Automatic Polyp Segmentation in Colonoscopy Images Using Single Network Model: SegNet
title_fullStr Automatic Polyp Segmentation in Colonoscopy Images Using Single Network Model: SegNet
title_full_unstemmed Automatic Polyp Segmentation in Colonoscopy Images Using Single Network Model: SegNet
title_sort automatic polyp segmentation in colonoscopy images using single network model: segnet
publishDate 2022
url http://scholars.utp.edu.my/id/eprint/36458/
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score 13.214268