{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T15:53:16Z","timestamp":1790092396207,"version":"4.0.1"},"reference-count":23,"publisher":"e-Century Publishing Corporation","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Am J Transl Res"],"DOI":"10.62347\/bihi3707","type":"journal-article","created":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T02:52:03Z","timestamp":1748573523000},"page":"3293-3306","source":"Crossref","is-referenced-by-count":7,"title":["Improved YOLOv8-seg for laryngeal structure recognition in medical images"],"prefix":"10.62347","volume":"17","author":[{"given":"Haipo","family":"Cui","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"48694","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref0","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1186\/s13054-015-0964-z","article-title":"Endotracheal intubation in the ICU","volume":"19","author":"Lapinsky","year":"2015","unstructured":"Lapinsky SE. Endotracheal intubation in the ICU. Crit Care 2015; 19: 258.","journal-title":"Crit Care"},{"key":"ref1","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1016\/j.bja.2017.10.021","article-title":"Guidelines for the management of tracheal intubation in critically ill adults","volume":"120","author":"Higgs","year":"2018","unstructured":"Higgs A, McGrath BA, Goddard C, Rangasami J, Suntharalingam G, Gale R and Cook TM. Difficult Airway Society; Intensive Care Society; Faculty of Intensive Care Medicine; Royal College of Anaesthetists. Guidelines for the management of tracheal intubation in critically ill adults. Br J Anaesth 2018; 120: 323-352.","journal-title":"Br J Anaesth"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1213\/00000539-197403000-00005","article-title":"The complications of tracheal intubation: a new classification with a review of the literature","volume":"53","author":"Blanc","year":"1974","unstructured":"Blanc VF and Tremblay NA. The complications of tracheal intubation: a new classification with a review of the literature. Anesth Analg 1974; 53: 202-213.","journal-title":"Anesth Analg"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1097\/ALN.0000000000004002","article-title":"2022 American Society of Anesthesiologists practice guidelines for management of the difficult airway","volume":"136","author":"JL","year":"2022","unstructured":"Apfelbaum JL, Hagberg CA, Connis RT, Abdelmalak BB, Agarkar M, Dutton RP, Fiadjoe JE, Greif R, Klock PA, Mercier D, Myatra SN, O&#x2019;Sullivan EP, Rosenblatt WH, Sorbello M and Tung A. 2022 American Society of Anesthesiologists practice guidelines for management of the difficult airway. Anesthesiology 2022; 136: 31-81.","journal-title":"Anesthesiology"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1111\/j.1460-9592.2010.03284.x","article-title":"Proposal for the management of the unexpected difficult pediatric airway","volume":"20","author":"Weiss","year":"2010","unstructured":"Weiss M and Engelhardt T. Proposal for the management of the unexpected difficult pediatric airway. Paediatr Anaesth 2010; 20: 454-464.","journal-title":"Paediatr Anaesth"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1016\/S0952-8180(02)00457-9","article-title":"A new video laryngoscope-an aid to intubation and teaching","volume":"14","author":"MB","year":"2002","unstructured":"Kaplan MB, Ward DS and Berci G. A new video laryngoscope-an aid to intubation and teaching. J Clin Anesth 2002; 14: 620-626.","journal-title":"J Clin Anesth"},{"key":"ref6","doi-asserted-by":"publisher","first-page":"103116","DOI":"10.1016\/j.bspc.2021.103116","article-title":"Automatic glottis segmentation for laryngeal endoscopic images based on U-Net","volume":"71","author":"Ding","year":"2022","unstructured":"Ding H, Cen Q, Si X, Pan Z and Chen X. Automatic glottis segmentation for laryngeal endoscopic images based on U-Net. Biomed Signal Process Control 2022; 71: 103116.","journal-title":"Biomed Signal Process Control"},{"key":"ref7","doi-asserted-by":"publisher","unstructured":"Ren J, Jing X, Wang J, Ren X, Xu Y, Yang Q, Ma L, Sun Y, Xu W, Yang N, Zou J, Zheng Y, Chen M, Gan W, Xiang T, An J, Liu R, Lv C, Lin K, Zheng X, Lou F, Rao Y, Yang H, Liu K, Liu G, Lu T, Zheng X and Zhao Y. Automatic recognition of laryngoscopic images using a deep-learning technique. Laryngoscope 2020; 130: E686-E693.","DOI":"10.1002\/lary.28539"},{"key":"ref8","doi-asserted-by":"publisher","unstructured":"Degala D, Rao MA, Krishnamurthy R, Gopikishore P, Priyadharshini V, Prakash T and Ghosh PK. Automatic glottis detection and segmentation in stroboscopic videos using convolutional networks. Interspeech 2020; 4801-4805.","DOI":"10.21437\/Interspeech.2020-2599"},{"key":"ref9","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.ebiom.2019.08.075","article-title":"Computer-aided diagnosis of laryngeal cancer via deep learning based on laryngoscopic images","volume":"48","author":"Xiong","year":"2019","unstructured":"Xiong H, Lin P, Yu JG, Ye J, Xiao L, Tao Y, Jiang Z, Lin W, Liu M, Xu J, Hu W, Lu Y, Liu H, Li Y, Zheng Y and Yang H. Computer-aided diagnosis of laryngeal cancer via deep learning based on laryngoscopic images. EBioMedicine 2019; 48: 92-99.","journal-title":"EBioMedicine"},{"key":"ref10","doi-asserted-by":"publisher","unstructured":"Han X, Chang J and Wang KJPCS. You only look once: unified, real-time object detection. 2021; 183: 61-72.","DOI":"10.1016\/j.procs.2021.02.031"},{"key":"ref11","unstructured":"Reis D, Kupec J, Hong J and Daoudi A. Real-time flying object detection with YOLOv8. ArXiv 2023; [Epub ahead of print]."},{"key":"ref12","doi-asserted-by":"publisher","first-page":"1643","DOI":"10.3390\/agriculture13081643","article-title":"Improved YOLOv8-Seg network for instance segmentation of healthy and diseased tomato plants in the growth stage","volume":"13","author":"Yue","year":"2023","unstructured":"Yue X, Qi K, Na X, Zhang Y, Liu Y and Liu C. Improved YOLOv8-Seg network for instance segmentation of healthy and diseased tomato plants in the growth stage. Agriculture 2023; 13: 1643.","journal-title":"Agriculture"},{"key":"ref13","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","article-title":"Faster R-CNN: towards real-time object detection with region proposal networks","volume":"39","author":"Ren","year":"2017","unstructured":"Ren S, He K, Girshick R and Sun J. Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans Pattern Anal Mach Intell 2017; 39: 1137-1149.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref14","doi-asserted-by":"publisher","unstructured":"Lin TY, Doll&#xE1;r P, Girshick R, He K, Hariharan B and Belongie S. Feature pyramid networks for object detection. Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR); 2017. pp. 2117-2125.","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref15","doi-asserted-by":"publisher","unstructured":"Liu S, Qi L, Qin H, Shi J and Jia J. Path aggregation network for instance segmentation. Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR); 2018. pp. 8759-8768.","DOI":"10.1109\/CVPR.2018.00913"},{"key":"ref16","doi-asserted-by":"publisher","unstructured":"Jiao J, Tang YM, Lin KY, Gao Y, Ma AJ, Wang Y and Zheng WS. Dilateformer: multi-scale dilated transformer for visual recognition. IEEE Transactions on Multimedia; 2023. pp. 8906-8919.","DOI":"10.1109\/TMM.2023.3243616"},{"key":"ref17","unstructured":"Li H, Li J, Wei H, Liu Z, Zhan Z and Ren Q. Slim-neck by GSConv: a better design paradigm of detector architectures for autonomous vehicles. ArXiv 2022; [Epub ahead of print]."},{"key":"ref18","doi-asserted-by":"publisher","unstructured":"Chollet F. Xception: deep learning with depthwise separable convolutions. Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR); 2017. pp. 1251-1258.","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref19","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1007\/s11263-007-0090-8","article-title":"LabelMe: a database and web-based tool for image annotation","volume":"77","author":"Russell","year":"2008","unstructured":"Russell BC, Torralba A, Murphy KP and Freeman WT. LabelMe: a database and web-based tool for image annotation. Int J Comput Vis 2008; 77: 157-173.","journal-title":"Int J Comput Vis"},{"key":"ref20","doi-asserted-by":"publisher","first-page":"10856","DOI":"10.1038\/s41598-024-61635-w","article-title":"Fine-grained recognition of bitter gourd maturity based on improved YOLOv5-seg model","volume":"14","author":"Jiang","year":"2024","unstructured":"Jiang S, Ao J, Yang H, Xie F, Liu Z, Yang S, Wei Y and Deng X. Fine-grained recognition of bitter gourd maturity based on improved YOLOv5-seg model. Sci Rep 2024; 14: 10856.","journal-title":"Sci Rep"},{"key":"ref21","doi-asserted-by":"publisher","first-page":"929","DOI":"10.3390\/electronics12040929","article-title":"The semantic segmentation of standing tree images based on the Yolo V7 deep learning algorithm","volume":"12","author":"Cao","year":"2023","unstructured":"Cao L, Zheng X and Fang L. The semantic segmentation of standing tree images based on the Yolo V7 deep learning algorithm. Electronics 2023; 12: 929.","journal-title":"Electronics"},{"key":"ref22","unstructured":"Wang A, Chen H, Liu L, Chen K, Lin Z, Han J and Ding G. Yolov10: real-time end-to-end object detection. ArXiv 2024; [Epub ahead of print]."}],"container-title":["American Journal of Translational Research"],"original-title":[],"link":[{"URL":"https:\/\/e-century.us\/files\/ajtr\/17\/5\/ajtr0162602.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T01:57:34Z","timestamp":1766023054000},"score":1,"resource":{"primary":{"URL":"https:\/\/e-century.us\/files\/ajtr\/17\/5\/ajtr0162602.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":23,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.62347\/bihi3707","relation":{},"ISSN":["1943-8141"],"issn-type":[{"value":"1943-8141","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}