{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T16:37:42Z","timestamp":1780504662802,"version":"3.54.1"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001781","name":"Swinburne University of Technology Sarawak Higher Degree by Research (HDR) Support Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001781","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3291783","type":"journal-article","created":{"date-parts":[[2023,7,3]],"date-time":"2023-07-03T18:20:53Z","timestamp":1688408453000},"page":"69295-69309","source":"Crossref","is-referenced-by-count":13,"title":["Improved Colorectal Polyp Segmentation Using Enhanced MA-NET and Modified Mix-ViT Transformer"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7545-1605","authenticated-orcid":false,"given":"Khaled","family":"Elkarazle","sequence":"first","affiliation":[{"name":"Faculty of Engineering, Computing and Science, Swinburne University of Technology, Sarawak Campus, Kuching, Sarawak, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valliappan","family":"Raman","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence and Data Science, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6079-2527","authenticated-orcid":false,"given":"Patrick","family":"Then","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Computing and Science, Swinburne University of Technology, Sarawak Campus, Kuching, Sarawak, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caslon","family":"Chua","sequence":"additional","affiliation":[{"name":"Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1118\/1.3263615"},{"key":"ref57","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/rs13030516","article-title":"Vision transformers for remote sensing image classification","volume":"13","author":"bazi","year":"2021","journal-title":"Remote Sens"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.183.1.1830127"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00476"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/BF00704360"},{"key":"ref59","article-title":"Polyp-PVT: Polyp segmentation with pyramid vision transformers","author":"dong","year":"2021","journal-title":"arXiv 2108 06932"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000007468"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00041"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-7629-9_5"},{"key":"ref52","first-page":"1","article-title":"Adaptive contrast enhancement of satellite images based on histogram and non-linear transfer function methods","volume":"53","author":"saberi","year":"2023","journal-title":"IAENG Int J Appl Math"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3748\/wjg.v26.i35.5248"},{"key":"ref55","first-page":"1","article-title":"An image is worth 16&#x00D7;16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2021","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5009\/gnl.2012.6.1.64"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-022-12429-7"},{"key":"ref17","first-page":"1","article-title":"A machine learning-based system for real-time polyp detection (DeFrame): A retrospective study","volume":"9","author":"chen","year":"2022","journal-title":"Frontiers of Medicine"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5217\/ir.2017.15.3.411"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2020.101923"},{"key":"ref18","first-page":"191","article-title":"The role of artificial intelligence in colon polyps detection","volume":"13","author":"rasouli","year":"2020","journal-title":"Gastroenterol Hepatol Bed Bench"},{"key":"ref51","year":"2023","journal-title":"CIE Standard Illuminant D65 |CIE"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/34.977559"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1155\/2023\/2345835"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.aej.2021.04.072"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/2665283"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-2183-3_69"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105760"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-021-01660-y"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.2352\/CIC.1999.7.1.art00024"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-04786-y"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3748\/wjg.v23.i28.5086"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1056\/EVIDra2100035"},{"key":"ref4","year":"2022","journal-title":"Colorectal Cancer"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1111\/j.1572-0241.2000.03434.x"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3346\/jkms.2016.31.9.1426"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1136\/gut.14.12.990"},{"key":"ref40","first-page":"10691","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"Proc 36th Int Conf Mach Learn (ICML)"},{"key":"ref35","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc 3rd Int Conf Learn Represent (ICLR)"},{"key":"ref34","first-page":"1","article-title":"Y-Net: A deep convolutional neural network to polyp detection","author":"mohammed","year":"2019","journal-title":"Proc Brit Mach Vis Conf (BMVC)"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102625"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2487997"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2015.02.007"},{"key":"ref30","first-page":"451","article-title":"Kvasir-SEG: A segmented polyp dataset","volume":"2","author":"jha","year":"2019","journal-title":"Proc Int Conf Multimedia Modeling"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.03.002"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-013-0926-3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.5009\/gnl19097"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5114\/pg.2018.81072"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1093\/jcde\/qwac018"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1109\/TPAMI.2017.2699184","article-title":"DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs","volume":"40","author":"chen","year":"2018","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref23","first-page":"3","article-title":"UNet++: A nested U-Net architecture for medical image segmentation","volume":"11045","author":"zhou","year":"2018","journal-title":"Proc Int Workshop Deep Learn Med Image Anal"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.02.123"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2021.12.039"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16437-8_11"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-12053-4_65"},{"key":"ref22","author":"ronneberger","year":"2022","journal-title":"U-net Convolutional networks for biomedical image segmentation"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s23031225"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3025372"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.bpg.2017.04.008"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.109131"},{"key":"ref60","author":"chang","year":"2022","journal-title":"ESFPNet Efficient Deep Learning Architecture for Real-Time Lesion Segmentation in Autofluorescence Bronchoscopic Video"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3195241"},{"key":"ref61","article-title":"DuAT: Dual-aggregation transformer network for medical image segmentation","author":"tang","year":"2022","journal-title":"arXiv 2212 11677"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10171993.pdf?arnumber=10171993","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,7]],"date-time":"2023-08-07T18:25:37Z","timestamp":1691432737000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10171993\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":65,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3291783","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}