{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T01:33:04Z","timestamp":1769131984248,"version":"3.49.0"},"reference-count":23,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,4,7]]},"DOI":"10.1117\/12.2653659","type":"proceedings-article","created":{"date-parts":[[2023,4,6]],"date-time":"2023-04-06T11:53:15Z","timestamp":1680781995000},"page":"21","source":"Crossref","is-referenced-by-count":3,"title":["Deep-learning based segmentation of the placenta and uterine cavity on prenatal MR images"],"prefix":"10.1117","author":[{"given":"James","family":"Huang","sequence":"first","affiliation":[]},{"given":"Quyen","family":"Do","sequence":"additional","affiliation":[]},{"given":"Maysam","family":"Shahedi","sequence":"additional","affiliation":[]},{"given":"Yin","family":"Xi","sequence":"additional","affiliation":[]},{"given":"Matthew A.","family":"Lewis","sequence":"additional","affiliation":[]},{"given":"Christina L.","family":"Herrera","sequence":"additional","affiliation":[]},{"given":"David M.","family":"Owen","sequence":"additional","affiliation":[]},{"given":"Catherine","family":"Spong","sequence":"additional","affiliation":[]},{"given":"Ananth J.","family":"Madhuranthakam","sequence":"additional","affiliation":[]},{"given":"Diane M.","family":"Twickler","sequence":"additional","affiliation":[]},{"given":"Baowei","family":"Fei","sequence":"additional","affiliation":[]}],"member":"189","reference":[{"key":"c1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2015.07.050"},{"key":"c2","doi-asserted-by":"publisher","DOI":"10.1242\/dev.163428"},{"key":"c3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2010.08.009"},{"key":"c4","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMcp1709324"},{"key":"c5","doi-asserted-by":"publisher","DOI":"10.1016\/j.placenta.2022.07.005"},{"key":"c6","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.19.21705"},{"key":"c7","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.v51.3"},{"key":"c8","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.8.5.054001"},{"key":"c9","first-page":"287","article-title":"Automatic segmentation of uterine cavity and placenta on MR Images using deep learning","volume":"12036","author":"Shahedi","year":"2022","journal-title":"Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging"},{"key":"c10","first-page":"411","article-title":"Segmentation of uterus and placenta in MR images using a fully convolutional neural network","volume":"11314","author":"Shahedi","year":"2020","journal-title":"Medical Imaging 2020: Computer-Aided Diagnosis"},{"key":"c11","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.04.009"},{"issue":"1","key":"c12","first-page":"90343W","article-title":"Uterus segmentation in dynamic MRI using LBP texture descriptors","volume":"9034","author":"Namias","year":"2014","journal-title":"SPIE Medical Imaging"},{"key":"c13","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-019-00227-x"},{"key":"c14","doi-asserted-by":"publisher","DOI":"10.1109\/Access.6287639"},{"key":"c15","doi-asserted-by":"publisher","DOI":"10.1109\/TUFFC.2021.3052143"},{"key":"c16","first-page":"6718","article-title":"Automated placenta segmentation with a convolutional neural network weighted by acoustic shadow detection","volume-title":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"2019","author":"Hu","year":"2019"},{"key":"c17","first-page":"589","article-title":"Fast fully automatic segmentation fo the human placenta from motion corrupted MRI","volume":"2016","author":"Alansary","year":"2016"},{"key":"c18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.34"},{"key":"c19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.10.004"},{"issue":"14746","key":"c20","article-title":"Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view","volume":"2206","author":"Zimmer","year":"2022"},{"key":"c21","first-page":"1055","article-title":"UNet 3+: A full-scale connected UNet for medical image segmentation","volume-title":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","volume":"2020","author":"Huang","year":"2020"},{"key":"c22","doi-asserted-by":"publisher","DOI":"10.1109\/34.232073"},{"key":"c23","doi-asserted-by":"publisher","DOI":"10.3390\/biomedinformatics1030007"}],"event":{"name":"Computer-Aided Diagnosis","location":"San Diego, United States","start":{"date-parts":[[2023,2,19]]},"end":{"date-parts":[[2023,2,24]]}},"container-title":["Medical Imaging 2023: Computer-Aided Diagnosis"],"original-title":[],"deposited":{"date-parts":[[2023,4,24]],"date-time":"2023-04-24T15:04:30Z","timestamp":1682348670000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/12465\/2653659\/Deep-learning-based-segmentation-of-the-placenta-and-uterine-cavity\/10.1117\/12.2653659.full"}},"subtitle":[],"editor":[{"given":"Khan M.","family":"Iftekharuddin","sequence":"additional","affiliation":[]},{"given":"Weijie","family":"Chen","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2023,4,7]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1117\/12.2653659","relation":{},"subject":[],"published":{"date-parts":[[2023,4,7]]}}}