{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T13:19:30Z","timestamp":1753881570977,"version":"3.41.2"},"reference-count":23,"publisher":"World Scientific Pub Co Pte Ltd","issue":"15","funder":[{"name":"Research Project of Henan Provincial Department of Science and Technology","award":["222102210325"],"award-info":[{"award-number":["222102210325"]}]},{"name":"Key R&D projects in Henan Province","award":["231111212000"],"award-info":[{"award-number":["231111212000"]}]},{"name":"Research Programs of Henan Science and Technology Department","award":["232102210054"],"award-info":[{"award-number":["232102210054"]}]},{"DOI":"10.13039\/501100005230","name":"Chongqing Natural Science Foundation","doi-asserted-by":"crossref","award":["2023NSCQ-MSX4618"],"award-info":[{"award-number":["2023NSCQ-MSX4618"]}],"id":[{"id":"10.13039\/501100005230","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2023,12,15]]},"abstract":"<jats:p> Image segmentation algorithms for medical embedded vision devices usually require a light and low latency model. In this study, a novel lightweight DepthWise U-shape network (DWU-net) is proposed to address this issue, which implements the task of lung parenchyma image segmentation. In the contracting path and expanding path of segmentation network, we introduce a separable convolution unit to replace standard convolution for image feature extraction, which can learn the unique features of each layer of the image from multiple perspectives, and has more advantages in feature expression. Our algorithm has better flexibility, comparing to the original model, the model parameters\u2019 number has been greatly reduced and the time efficiency is fully improved. The proposed architecture achieves good performance in FPGA implementation. <\/jats:p>","DOI":"10.1142\/s0218001423570185","type":"journal-article","created":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T02:48:56Z","timestamp":1701658136000},"source":"Crossref","is-referenced-by-count":0,"title":["Research on Lightweight Network Segmentation of Lung Parenchyma CT Image Based on FPGA Platform"],"prefix":"10.1142","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1163-1337","authenticated-orcid":false,"given":"Yumin","family":"Dou","sequence":"first","affiliation":[{"name":"Management Institute Xinxiang Medical University, No. 601 Jinsui Avenue, Hongqi District, Xinxiang, Henan 453003, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9523-9679","authenticated-orcid":false,"given":"Xuezhuan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Zhengzhou University of Aeronautics, No. 15 Wenyuan West Road, Jinshui District, Zhengzhou, Henan 450046, P. R. China"},{"name":"Chongqing Research Institute of HIT Chongqing, P. R. China"},{"name":"Joint Industrial Incubation Base in Yubei District, Chongqing 401151, P. R. China"},{"name":"Aerospace Electronic Information Technology, Henan Collaborative Innovation Center, No. 15 Wenyuan West Road, Jinshui District, Zhengzhou, Henan 450046, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2024,1,5]]},"reference":[{"key":"S0218001423570185BIB001","first-page":"1","volume-title":"2019 Int. Conf. Eng. Appl. (ICEA)","author":"Baptista D.","year":"2019"},{"key":"S0218001423570185BIB003","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-60964-5_44"},{"key":"S0218001423570185BIB004","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-42016-5_6"},{"key":"S0218001423570185BIB005","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"S0218001423570185BIB007","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2017.2705069"},{"key":"S0218001423570185BIB008","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.05.004"},{"key":"S0218001423570185BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2465908"},{"key":"S0218001423570185BIB014","doi-asserted-by":"publisher","DOI":"10.1016\/j.matdes.2020.109176"},{"key":"S0218001423570185BIB015","doi-asserted-by":"publisher","DOI":"10.3390\/ijms232415473"},{"key":"S0218001423570185BIB016","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.10.004"},{"first-page":"1097","volume-title":"Proc. 25th Int. Conf. Neural Inform. Process. Syst. (NIPS)","author":"Krizhevsky A.","key":"S0218001423570185BIB017"},{"key":"S0218001423570185BIB018","first-page":"1995","volume-title":"The Handbook of Brain Theory and Neural Networks","volume":"3361","author":"Le Cun Y.","year":"1995"},{"issue":"4","key":"S0218001423570185BIB019","first-page":"640","volume":"39","author":"Long J.","year":"2014","journal-title":"IEEE Trans. Pattern Anal. Mach. Intel."},{"key":"S0218001423570185BIB021","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"S0218001423570185BIB022","doi-asserted-by":"publisher","DOI":"10.1109\/NANO.2018.8626313"},{"key":"S0218001423570185BIB023","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"S0218001423570185BIB024","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"S0218001423570185BIB025","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.269"},{"key":"S0218001423570185BIB026","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/58\/17\/R187"},{"key":"S0218001423570185BIB029","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.164"},{"key":"S0218001423570185BIB031","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00199"},{"issue":"6","key":"S0218001423570185BIB032","first-page":"861","volume":"37","author":"Zhang Z.","year":"2019","journal-title":"Comput. Biol. Med."},{"key":"S0218001423570185BIB033","first-page":"36","volume":"36","author":"Zikic D.","year":"2014","journal-title":"Proc. MICCAI-BRATS"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001423570185","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,7]],"date-time":"2024-02-07T09:30:49Z","timestamp":1707298249000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S0218001423570185"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,15]]},"references-count":23,"journal-issue":{"issue":"15","published-print":{"date-parts":[[2023,12,15]]}},"alternative-id":["10.1142\/S0218001423570185"],"URL":"https:\/\/doi.org\/10.1142\/s0218001423570185","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"type":"print","value":"0218-0014"},{"type":"electronic","value":"1793-6381"}],"subject":[],"published":{"date-parts":[[2023,12,15]]},"article-number":"2357018"}}