{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:01:59Z","timestamp":1760234519968,"version":"build-2065373602"},"reference-count":27,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2021,5,21]],"date-time":"2021-05-21T00:00:00Z","timestamp":1621555200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100019491","name":"National Natural Science Foundation of China - State Grid Corporation Joint Fund for Smart Grid","doi-asserted-by":"publisher","award":["61863005"],"award-info":[{"award-number":["61863005"]}],"id":[{"id":"10.13039\/501100019491","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Support Plan of Guizhou Province","award":["QKHZC[2019]2814"],"award-info":[{"award-number":["QKHZC[2019]2814"]}]},{"name":"Experimental Technology and Development Project of Zhejiang Normal University","award":["SJ202123"],"award-info":[{"award-number":["SJ202123"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>State-of-the-art semantic segmentation methods rely too much on complicated deep networks and thus cannot train efficiently. This paper introduces a novel Circle-U-Net architecture that exceeds the original U-Net on several standards. The proposed model includes circle connect layers, which is the backbone of ResUNet-a architecture. The model possesses a contracting part with residual bottleneck and circle connect layers that capture context and expanding paths, with sampling layers and merging layers for a pixel-wise localization. The results of the experiment show that the proposed Circle-U-Net achieves an improved accuracy of 5.6676%, 2.1587% IoU (Intersection of union, IoU) and can detect 67% classes greater than U-Net, which is better than current results.<\/jats:p>","DOI":"10.3390\/a14060159","type":"journal-article","created":{"date-parts":[[2021,5,21]],"date-time":"2021-05-21T13:15:15Z","timestamp":1621602915000},"page":"159","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Circle-U-Net: An Efficient Architecture for Semantic Segmentation"],"prefix":"10.3390","volume":"14","author":[{"given":"Feng","family":"Sun","sequence":"first","affiliation":[{"name":"Experimental Teaching Center for Liberal Arts, Zhejiang Normal University, Jinhua 321004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ajith Kumar","family":"V","sequence":"additional","affiliation":[{"name":"The School of AI, Bangalore 560002, India"},{"name":"Lotte Data Communication R & D Center India LLP, Chennai 600113, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8761-5195","authenticated-orcid":false,"given":"Guanci","family":"Yang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Advanced Manufacturing Technology of Ministry of Education, Guizhou University, Guiyang 550025, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ansi","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Guizhou University, Guiyang 550025, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiyun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Engineering College, Zhejiang Normal University, Jinhua 321004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,5,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Yang, G., Chen, Z., Li, Y., and Su, Z. 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