{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T17:12:58Z","timestamp":1779383578475,"version":"3.53.1"},"reference-count":45,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T00:00:00Z","timestamp":1746576000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Italian Ministry of University and Research (MUR)","award":["F53C22000430001"],"award-info":[{"award-number":["F53C22000430001"]}]},{"name":"Italian Ministry of University and Research (MUR)","award":["F53D23004270006"],"award-info":[{"award-number":["F53D23004270006"]}]},{"name":"Italian Ministry of University and Research (MUR)","award":["PE00000014"],"award-info":[{"award-number":["PE00000014"]}]},{"name":"MIUR","award":["F53C22000430001"],"award-info":[{"award-number":["F53C22000430001"]}]},{"name":"MIUR","award":["F53D23004270006"],"award-info":[{"award-number":["F53D23004270006"]}]},{"name":"MIUR","award":["PE00000014"],"award-info":[{"award-number":["PE00000014"]}]},{"name":"SERICS","award":["F53C22000430001"],"award-info":[{"award-number":["F53C22000430001"]}]},{"name":"SERICS","award":["F53D23004270006"],"award-info":[{"award-number":["F53D23004270006"]}]},{"name":"SERICS","award":["PE00000014"],"award-info":[{"award-number":["PE00000014"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Imaging"],"abstract":"<jats:p>Accurate segmentation of the nasal cavity and paranasal sinuses in CT scans is crucial for disease assessment, treatment planning, and surgical navigation. It also facilitates the advanced computational modeling of airflow dynamics and enhances endoscopic surgery preparation. This work presents a novel ensemble framework for 3D nasal CT segmentation that synergistically combines CNN-based and transformer-based architectures, 3D-NASE. By integrating 3D U-Net, UNETR, Swin UNETR, SegResNet, DAF3D, and V-Net with majority and soft voting strategies, our approach leverages both local details and global context to improve segmentation accuracy and robustness. Results on the NasalSeg dataset demonstrate that the proposed ensemble method surpasses previous state-of-the-art results by achieving a 35.88% improvement in the DICE score and reducing the standard deviation by 4.53%. These promising results highlight the potential of our method to advance clinical workflows in diagnosis, treatment planning, and surgical navigation while also promoting further research into computationally efficient and highly accurate segmentation techniques.<\/jats:p>","DOI":"10.3390\/jimaging11050148","type":"journal-article","created":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T05:18:20Z","timestamp":1746595100000},"page":"148","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["3D-NASE: A Novel 3D CT Nasal Attention-Based Segmentation Ensemble"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9324-7020","authenticated-orcid":false,"given":"Alessandro","family":"Pani","sequence":"first","affiliation":[{"name":"Department of Mathematics and Computer Science, University of Cagliari, Via Ospedale 72, 09124 Cagliari, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8488-1612","authenticated-orcid":false,"given":"Luca","family":"Zedda","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, University of Cagliari, Via Ospedale 72, 09124 Cagliari, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0701-9583","authenticated-orcid":false,"given":"Davide Antonio","family":"Mura","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, University of Cagliari, Via Ospedale 72, 09124 Cagliari, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6571-3816","authenticated-orcid":false,"given":"Andrea","family":"Loddo","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, University of Cagliari, Via Ospedale 72, 09124 Cagliari, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4641-0307","authenticated-orcid":false,"given":"Cecilia","family":"Di Ruberto","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, University of Cagliari, Via Ospedale 72, 09124 Cagliari, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,5,7]]},"reference":[{"key":"ref_1","first-page":"257","article-title":"Quantification of airflow in the sinuses following functional endoscopic sinus surgery","volume":"58","author":"Siu","year":"2020","journal-title":"Rhinology"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"745","DOI":"10.1002\/ca.23888","article-title":"Pediatric paranasal sinuses\u2014Development, growth, pathology, & functional endoscopic sinus surgery","volume":"35","author":"Lee","year":"2022","journal-title":"Clin. 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