{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T10:15:20Z","timestamp":1769854520166,"version":"3.49.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,5]],"date-time":"2023-12-05T00:00:00Z","timestamp":1701734400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,5]],"date-time":"2023-12-05T00:00:00Z","timestamp":1701734400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,5]]},"DOI":"10.1109\/bibm58861.2023.10385928","type":"proceedings-article","created":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T18:27:43Z","timestamp":1705602463000},"page":"1443-1450","source":"Crossref","is-referenced-by-count":5,"title":["ConvUNET: a Novel Depthwise Separable ConvNet for Lung Nodule Segmentation"],"prefix":"10.1109","author":[{"given":"Xinkai","family":"Tang","sequence":"first","affiliation":[{"name":"Wuhan University,School of Computer Science,Wuhan,China"}]},{"given":"Feng","family":"Liu","sequence":"additional","affiliation":[{"name":"Wuhan University,School of Computer Science,Wuhan,China"}]},{"given":"Ruoshan","family":"Kong","sequence":"additional","affiliation":[{"name":"Wuhan University,School of Computer Science,Wuhan,China"}]},{"given":"Fei","family":"Luo","sequence":"additional","affiliation":[{"name":"Wuhan University,School of Computer Science,Wuhan,China"}]},{"given":"Wencai","family":"Huang","sequence":"additional","affiliation":[{"name":"General Hospital of Central Theater, Command of the PLA,Department of Radiology,Wuhan,China"}]},{"given":"Jiani","family":"Zou","sequence":"additional","affiliation":[{"name":"General Hospital of Central Theater, Command of the PLA,Department of Radiology,Wuhan,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21763"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017161659"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics12020298"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00181"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-08999-2_22"},{"key":"ref7","article-title":"3d ux-net: A large kernel volumetric convnet modernizing hierarchical transformer for medical image segmentation","author":"Lee","year":"2022"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2023.3253713"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2959609"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053405"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_49"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref13","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref14","article-title":"Attention u-net: Learning where to look for the pancreas","author":"Oktay","year":"2018"},{"issue":"2","key":"ref15","first-page":"307","article-title":"Network model for lung nodule segmentation based on double attention 3d-unet","volume":"47","author":"Wang","year":"2021","journal-title":"Computer Engineering"},{"key":"ref16","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"key":"ref17","article-title":"Transunet: Transformers make strong encoders for medical image segmentation","author":"Chen","year":"2021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref19","article-title":"Unetr++: Delving into efficient and accurate 3d medical image segmentation","author":"Shaker","year":"2022"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01548"},{"key":"ref23","article-title":"Conv2former: A simple transformer-style convnet for visual recognition","author":"Hou","year":"2022"},{"key":"ref24","article-title":"Instance normalization: The missing ingredient for fast stylization","author":"Ulyanov","year":"2016"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.06.015"},{"key":"ref26","article-title":"Lndb: a lung nodule database on computed tomography","author":"Pedrosa","year":"2019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1118\/1.3528204"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1186\/s41747-020-00173-2"}],"event":{"name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","location":"Istanbul, Turkiye","start":{"date-parts":[[2023,12,5]]},"end":{"date-parts":[[2023,12,8]]}},"container-title":["2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10385250\/10385251\/10385928.pdf?arnumber=10385928","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T18:20:48Z","timestamp":1705688448000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10385928\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,5]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/bibm58861.2023.10385928","relation":{},"subject":[],"published":{"date-parts":[[2023,12,5]]}}}