{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,8]],"date-time":"2025-05-08T14:45:09Z","timestamp":1746715509549,"version":"3.33.0"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T00:00:00Z","timestamp":1728172800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T00:00:00Z","timestamp":1728172800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,6]]},"DOI":"10.1109\/smc54092.2024.10831442","type":"proceedings-article","created":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T18:39:20Z","timestamp":1737398360000},"page":"5175-5182","source":"Crossref","is-referenced-by-count":1,"title":["Disease Detection Module for SBCE Images Using Modified YOLOv8"],"prefix":"10.1109","author":[{"given":"Shiren","family":"Ye","sequence":"first","affiliation":[{"name":"School of Computer and Artificial Intelligence, Changzhou University,Changzhou,China"}]},{"given":"Shuo","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer and Artificial Intelligence, Changzhou University,Changzhou,China"}]},{"given":"Qi","family":"Meng","sequence":"additional","affiliation":[{"name":"School of Computer and Artificial Intelligence, Changzhou University,Changzhou,China"}]},{"given":"Hui","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer and Artificial Intelligence, Changzhou University,Changzhou,China"}]},{"given":"Jiaqun","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Computer and Artificial Intelligence, Changzhou University,Changzhou,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3061592"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21601"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/0952813X.2019.1572657"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref5","article-title":"Container: Context aggregation network[J]","author":"Gao","year":"2021","journal-title":"arXiv preprint"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2020.101767"},{"key":"ref7","first-page":"7263","volume-title":"YOL09000: better, faster, stronger[C]IIProcee dings of the IEEE conference on computer vision and pattern recog-nition","author":"Redmon","year":"2017"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/biomedicines11030942"},{"key":"ref9","article-title":"Yolov 3: An incremental improvement[J]","author":"Redmon","year":"2018","journal-title":"arXiv preprint"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref11","first-page":"287","article-title":"GP-SSD: Real-Time Auto-matic Detection of Polyp Diseases from Gastrointestinal Endoscopic","volume-title":"Images[C]112023","author":"Souaidi"},{"key":"ref12","first-page":"120","article-title":"Improved P&ID Symbol Detection Algorithm Based on YOLOv5","volume-title":"Network[C]112023","author":"Xiao"},{"issue":"1","key":"ref13","doi-asserted-by":"crossref","DOI":"10.1002\/deo2.258","article-title":"Small bowel capsule en-doscopy examination and open access database with artificial intel-ligence: The SEE-artificial intelligence project[J]","volume":"4","author":"Yokote","year":"2024","journal-title":"DEN open"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3360853"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3748\/wjg.v30.i2.170"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SMC53992.2023.10394359"},{"volume-title":"YOLOv5 by Ultralytics (Version 7.0) [Computer software].","year":"2020","author":"Jocher","key":"ref18"},{"volume-title":"Ultralytics YOLO (Version 8.0.0) [Computer software].","year":"2023","author":"Jocher","key":"ref19"},{"key":"ref20","first-page":"2778","article-title":"TPH-YOL Ov 5: Improved YOLOv5 based on transformer prediction head for object detection on drone-captured scenarios[C]","volume-title":"Proceedings of the IEEE\/CVF international conference on computer vision.","author":"Zhu","year":"2021"},{"key":"ref21","article-title":"mixup: Beyond empirical risk minimization[J]","author":"Zhang","year":"2017","journal-title":"arXiv preprint"},{"key":"ref22","first-page":"7464","article-title":"Trainable bag-of-freebies sets new state-of-the-art for real-time object detec-tors[C]","volume-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition.","volume":"7","author":"Wang","year":"2023"},{"key":"ref23","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks[J]","author":"Ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref24","first-page":"20230","article-title":"a-IoU: A family of power intersection over union losses for bounding box regression[J]","volume":"34","author":"He","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref25","article-title":"Attention is all you need[J]","author":"Vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6999"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref28","volume":"9","author":"Wang","year":"2024","journal-title":"arXiv preprint"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00165"},{"key":"ref30","article-title":"Optimal speed and accuracy of object detection[J]","volume":"4","author":"Bochkovskiy","year":"2020","journal-title":"arXiv preprint"},{"key":"ref31","article-title":"Omni-dimensional dynamic convolution[J]","author":"Li","year":"2022","journal-title":"arXiv preprint"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref35","article-title":"YOLOv6: A single-stage object detection framework for industrial applications[J]","author":"Li","year":"2022","journal-title":"arXiv preprint"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/make5040083"},{"key":"ref37","article-title":"A Robust Pipeline for Classification and Detection of Bleeding Frames in Wireless Capsule Endoscopy using Swin Transformer and RT-DETR[J]","author":"Alavala","year":"2024","journal-title":"arXiv preprint"}],"event":{"name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","start":{"date-parts":[[2024,10,6]]},"location":"Kuching, Malaysia","end":{"date-parts":[[2024,10,10]]}},"container-title":["2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10830919\/10830920\/10831442.pdf?arnumber=10831442","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,21]],"date-time":"2025-01-21T06:32:07Z","timestamp":1737441127000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10831442\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,6]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/smc54092.2024.10831442","relation":{},"subject":[],"published":{"date-parts":[[2024,10,6]]}}}