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However, placental MRI analysis is limited by manual segmentation and time\u2010consuming classification workflows that are prone to inter\u2010operator variability in preclinical sheep models. This study presents the first fully automated MRI analysis pipeline for the ovine placenta, integrating advanced deep learning models to accelerate and standardize preclinical placental assessment. We evaluated 2D and 3D configurations of the self\u2010configuring nnU\u2010Net against a conventional 2D U\u2010Net, training on expert\u2010annotated datasets and testing on a held\u2010out set. The 3D nnU\u2010Net achieved a Dice score above 0.81, outperforming both 2D approaches while reducing processing time by more than 95% and closely matching manual contours. Using these segmentations, we implemented a YOLOv11\u2010based detection module to localize and classify individual placentomes into four morphological types (A\u2013D), achieving 88.7% precision, 92.1% recall, mAP50 of 95.1%, and mAP50\u201095 of 93.5%. This dual\u2010stage workflow enables fully automated, in\u00a0vivo quantification of placentome morphology in sheep, supporting high\u2010throughput, reproducible assessment of placental structural and functional adaptation while reducing operator bias and manual burden, and laying the foundation for MRI biomarker validation.<\/jats:p>","DOI":"10.14814\/phy2.70869","type":"journal-article","created":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T05:16:55Z","timestamp":1776489415000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A deep learning algorithm for automatic\n                    <scp>3D<\/scp>\n                    segmentation and classification of the sheep placenta in magnetic resonance images"],"prefix":"10.14814","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8846-3573","authenticated-orcid":false,"given":"Dimitra","family":"Flouri","sequence":"first","affiliation":[{"name":"In Silico Modelling Group, Department of Mechanical and Manufacturing Engineering University of Cyprus  Nicosia Cyprus"},{"name":"School of Biomedical Engineering and Imaging Sciences King's College London  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giorgos","family":"Adamides","sequence":"additional","affiliation":[{"name":"3AE Health LTD  Nicosia Cyprus"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jack R. T.","family":"Darby","sequence":"additional","affiliation":[{"name":"Early Origins of Adult Health Research Group, School of Pharmacy and Biomedical Sciences, Robinson Research Institute, College of Health Adelaide University  Adelaide South Australia Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stacey L.","family":"Holman","sequence":"additional","affiliation":[{"name":"Early Origins of Adult Health Research Group, School of Pharmacy and Biomedical Sciences, Robinson Research Institute, College of Health Adelaide University  Adelaide South Australia Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas S.","family":"Panayides","sequence":"additional","affiliation":[{"name":"3AE Health LTD  Nicosia Cyprus"},{"name":"CYENS Centre of Excellence  Nicosia Cyprus"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna L.","family":"David","sequence":"additional","affiliation":[{"name":"Elizabeth Garrett Anderson Institute for Women's Health University College London  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vasileios","family":"Vavourakis","sequence":"additional","affiliation":[{"name":"In Silico Modelling Group, Department of Mechanical and Manufacturing Engineering University of Cyprus  Nicosia Cyprus"},{"name":"Department of Medical Physics and Biomedical Engineering University College London  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8602-8519","authenticated-orcid":false,"given":"Janna L.","family":"Morrison","sequence":"additional","affiliation":[{"name":"Early Origins of Adult Health Research Group, School of Pharmacy and Biomedical Sciences, Robinson Research Institute, College of Health Adelaide University  Adelaide South Australia Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew","family":"Melbourne","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering and Imaging Sciences King's College London  London UK"},{"name":"Elizabeth Garrett Anderson Institute for Women's Health University College London  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2026,4,17]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_68"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.3390\/computers13120336"},{"issue":"10","key":"e_1_2_10_4_1","first-page":"2275","article-title":"Late\u2010gestation maternal undernutrition induces circulatory redistribution while preserving uteroplacental function independent of fetal glycaemic state","volume":"602","author":"Cho S. 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