{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T03:03:03Z","timestamp":1784257383000,"version":"3.55.0"},"reference-count":27,"publisher":"Public Library of Science (PLoS)","issue":"1","license":[{"start":{"date-parts":[[2023,1,20]],"date-time":"2023-01-20T00:00:00Z","timestamp":1674172800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"crossref","award":["NRF-2022R1A2C2091160"],"award-info":[{"award-number":["NRF-2022R1A2C2091160"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:sec id=\"sec001\">\n<jats:title>Purpose<\/jats:title>\n<jats:p>There has been little progress in research on the best anatomical position for effective chest compressions and cardiac function during cardiopulmonary resuscitation (CPR). This study aimed to divide the left ventricle (LV) into segments to determine the best position for effective chest compressions using the LV systolic function seen during CPR.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec002\">\n<jats:title>Methods<\/jats:title>\n<jats:p>We used transesophageal echocardiography images acquired during CPR. A deep neural network with an attention mechanism and a residual feature aggregation module were applied to the images to segment the LV. The results were compared between the proposed model and U-Net.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec003\">\n<jats:title>Results<\/jats:title>\n<jats:p>The results of the proposed model showed higher performance in most metrics when compared to U-Net: dice coefficient (0.899\u00b10.017 vs. 0.792\u00b10.027, p&lt;0.05); intersection of union (0.822\u00b10.026 vs. 0.668\u00b10.034, p&lt;0.05); recall (0.904\u00b10.023 vs. 0.757\u00b10.037, p&lt;0.05); precision (0.901\u00b10.021 vs. 0.859\u00b10.034, p&gt;0.05). There was a significant difference between the proposed model and U-Net.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec004\">\n<jats:title>Conclusion<\/jats:title>\n<jats:p>Compared to U-Net, the proposed model showed better performance for all metrics. This model would allow us to evaluate the systolic function of the heart during CPR in greater detail by segmenting the LV more accurately.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pone.0280485","type":"journal-article","created":{"date-parts":[[2023,1,20]],"date-time":"2023-01-20T18:41:42Z","timestamp":1674240102000},"page":"e0280485","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":14,"title":["Left ventricle segmentation in transesophageal echocardiography images using a deep neural network"],"prefix":"10.1371","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4843-9069","authenticated-orcid":true,"given":"Seungyoung","family":"Kang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sun Ju","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong Gi","family":"Ahn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyoung-Chul","family":"Cha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5841-851X","authenticated-orcid":true,"given":"Sejung","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2023,1,20]]},"reference":[{"issue":"10","key":"pone.0280485.ref001","doi-asserted-by":"crossref","first-page":"928","DOI":"10.1111\/j.1553-2712.2009.00497.x","article-title":"Compression of the left ventricular outflow tract during cardiopulmonary resuscitation.","volume":"16","author":"SO Hwang","year":"2009","journal-title":"Acad Emerg Med"},{"key":"pone.0280485.ref002","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.resuscitation.2021.02.009","article-title":"European Resuscitation Council Guidelines 2021: Basic Life Support","volume":"161","author":"TM Olasveengen","year":"2021","journal-title":"Resuscitation"},{"issue":"16","key":"pone.0280485.ref003","first-page":"S366","article-title":"Part 3: Adult Basic and Advanced Life Support: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care","volume":"142","author":"AR Panchal","year":"2020","journal-title":"Circulation"},{"issue":"8","key":"pone.0280485.ref004","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1136\/emermed-2012-201556","article-title":"Optimal position for external chest compression during cardiopulmonary resuscitation: an analysis based on chest CT in patients resuscitated from cardiac arrest","volume":"30","author":"KC Cha","year":"2013","journal-title":"Emerg Med J"},{"issue":"2","key":"pone.0280485.ref005","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.resuscitation.2007.05.003","article-title":"Is the inter-nipple line the correct hand position for effective chest compression in adult cardiopulmonary resuscitation?","volume":"75","author":"J Shin","year":"2007","journal-title":"Resuscitation"},{"issue":"Suppl","key":"pone.0280485.ref006","doi-asserted-by":"crossref","first-page":"S15","DOI":"10.15441\/ceem.21.024","article-title":"2020 Korean Guidelines for Cardiopulmonary Resuscitation. 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