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Inform. med."],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    This study aimed to develop a fully automated semantic placenta segmentation model that integrates the U-Net and SegNeXt architectures through ensemble learning. A total of 218 pregnant women with suspected placental abnormalities who underwent magnetic resonance imaging (MRI) were enrolled, yielding 1090 annotated images for developing a deep learning model for placental segmentation. The images were standardized and divided into training and test sets. The performance of Placental Segmentation Network (PlaNet-S), which integrates U-Net and SegNeXt within an ensemble framework, was assessed using Intersection over Union (IoU) and counting connected components (CCC) against the U-Net, U-Net\u2009+ +\u2009, and DS-transUNet. PlaNet-S had significantly higher IoU (0.78, SD\u2009=\u20090.10) than that of U-Net (0.73, SD\u2009=\u20090.13) (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.005) and DS-transUNet (0.64, SD\u2009=\u20090.16) (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.005), while the difference with U-Net\u2009+ +\u2009(0.77, SD\u2009=\u20090.12) was not statistically significant. The CCC for PlaNet-S was significantly higher than that for U-Net (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.005), U-Net\u2009+ +\u2009(\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.005), and DS-transUNet (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.005), matching the ground truth in 86.0%, 56.7%, 67.9%, and 20.9% of the cases, respectively. PlaNet-S achieved higher IoU than U-Net and DS-transUNet, and comparable IoU to U-Net\u2009+ +\u2009. Moreover, PlaNet-S significantly outperformed all three models in CCC, indicating better agreement with the ground truth. This model addresses the challenges of time-consuming physician-assisted manual segmentation and offers the potential for diverse applications in placental imaging analyses.\n                  <\/jats:p>","DOI":"10.1007\/s10278-025-01549-9","type":"journal-article","created":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T11:34:41Z","timestamp":1748345681000},"page":"400-410","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["PlaNet-S: an Automatic Semantic Segmentation Model for Placenta Using U-Net and SegNeXt"],"prefix":"10.1007","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-2342-7604","authenticated-orcid":false,"given":"Isso","family":"Saito","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shinnosuke","family":"Yamamoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2541-1685","authenticated-orcid":false,"given":"Eichi","family":"Takaya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5732-0716","authenticated-orcid":false,"given":"Ayaka","family":"Harigai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6859-4394","authenticated-orcid":false,"given":"Tomomi","family":"Sato","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8179-1702","authenticated-orcid":false,"given":"Tomoya","family":"Kobayashi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0931-9942","authenticated-orcid":false,"given":"Kei","family":"Takase","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0913-5791","authenticated-orcid":false,"given":"Takuya","family":"Ueda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,27]]},"reference":[{"key":"1549_CR1","doi-asserted-by":"publisher","unstructured":"Gude NM, Roberts CT, Kalionis B, King RG: Growth and function of the normal human placenta. 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