{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T13:19:56Z","timestamp":1753881596036,"version":"3.41.2"},"reference-count":25,"publisher":"World Scientific Pub Co Pte Ltd","issue":"05","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62011530130","62272415"],"award-info":[{"award-number":["62011530130","62272415"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100022963","name":"Key Research and Development Program of Zhejiang Province","doi-asserted-by":"publisher","award":["2023C03088"],"award-info":[{"award-number":["2023C03088"]}],"id":[{"id":"10.13039\/100022963","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:p> Ultrasound measurement of optic nerve sheath diameter (ONSD) is considered a noninvasive method for estimating elevated intracranial pressure (ICP) in patients. Clinical trials have demonstrated a strong correlation between changes in ONSD and changes in ICP. Therefore, accurate segmentation of the ONSD is crucial for noninvasive ICP assessment. In this paper, we propose a two-stage self-supervised semantic segmentation method to enhance optic nerve segmentation. In the pre-training phase, we use a fully convolutional-based masked autoencoder (FCMAE) to reconstruct full images from partially masked inputs. The encoder of FCMAE aggregates contextual information to infer the masked image regions, and this pretrained encoder is then migrated to the segmentation task for parameter initialization. In the fine-tuning phase, we perform the optic nerve segmentation task. After obtaining the initial segmentation results through the UPerNet network, we use a direction field (DF) module to compute a vector of DFs pointing to the nearest edge of the optic nerve for each pixel. This DF information is then used to refine the initial segmentation results via the feature correction module. The model was trained on a dataset of optic nerve sheath images collected from hospital patients and achieved a Dice score of 98.03%. Our proposed method exhibits superior performance across all metrics compared to other segmentation models. <\/jats:p>","DOI":"10.1142\/s0218001425540059","type":"journal-article","created":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T09:14:35Z","timestamp":1741684475000},"source":"Crossref","is-referenced-by-count":0,"title":["An Optic Nerve Segmentation Model Based on Fully-Convolutional-Based Masked Autoencoders and Direction Field"],"prefix":"10.1142","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3013-4790","authenticated-orcid":false,"given":"M.","family":"Jiang","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology (School of Artificial Intelligence), Zhejiang Sci-Tech University, Hangzhou P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4087-5412","authenticated-orcid":false,"given":"Q.","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology (School of Artificial Intelligence), Zhejiang Sci-Tech University, Hangzhou P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7113-5066","authenticated-orcid":false,"given":"X.","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology (School of Artificial Intelligence), Zhejiang Sci-Tech University, Hangzhou P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5398-5091","authenticated-orcid":false,"given":"J.","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Clinical Engineering, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou P.\u00a0R.\u00a0China"},{"name":"Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8752-9801","authenticated-orcid":false,"given":"C.","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Emergency Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, P.\u00a0R.\u00a0China"},{"name":"Key Laboratory of The Diagnosis and Treatment of Severe Trauma and Burn of Zhejiang Province, Hangzhou, Zhejiang 310009 P.\u00a0R.\u00a0China"},{"name":"Zhejiang Province Clinical Research Center for Emergency and Critical Care Medicine, Hangzhou, Zhejiang 310009, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2119-1532","authenticated-orcid":false,"given":"T.","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Clinical Engineering, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1937-9693","authenticated-orcid":false,"given":"L.","family":"Xia","sequence":"additional","affiliation":[{"name":"Key Laboratory for Biomedical Engineering of Ministry of Education, Institute of Biomedical Engineering, Zhejiang University, Hangzhou, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5403-0887","authenticated-orcid":false,"given":"T.","family":"Tan","sequence":"additional","affiliation":[{"name":"Faculty of Applied Sciences, Macao Polytechnic University, R. de Lu\u00eds Gonzaga Gomes, Macao 999078, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7531-1342","authenticated-orcid":false,"given":"Z.","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Clinical Engineering, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9497-2529","authenticated-orcid":false,"given":"Y.","family":"Chu","sequence":"additional","affiliation":[{"name":"Department of Clinical Engineering, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou P.\u00a0R.\u00a0China"}]}],"member":"219","published-online":{"date-parts":[[2025,4,28]]},"reference":[{"doi-asserted-by":"publisher","key":"S0218001425540059BIB001","DOI":"10.1109\/TCE.2023.3328479"},{"doi-asserted-by":"publisher","key":"S0218001425540059BIB002","DOI":"10.1007\/978-3-031-16919-9_9"},{"doi-asserted-by":"publisher","key":"S0218001425540059BIB003","DOI":"10.1109\/INMIC60434.2023.10465796"},{"key":"S0218001425540059BIB004","first-page":"205","volume-title":"Eur. 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