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In addition, a balance strategy between computational resources and accuracy is proposed in the selection of reasonable network architectures. The proposed fully automatic design method of CNN is applied to the segmentation of steel microstructure images, and experimental results demonstrate that the proposed method is competitive with the existing state-of-the-art methods.<\/jats:p>","DOI":"10.1007\/s40747-023-01166-5","type":"journal-article","created":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T04:01:31Z","timestamp":1690171291000},"page":"383-396","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Maximal sparse convex surrogate-assisted evolutionary convolutional neural architecture search for image segmentation"],"prefix":"10.1007","volume":"10","author":[{"given":"Wei","family":"Wang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8132-9446","authenticated-orcid":false,"given":"Xianpeng","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xiangman","family":"Song","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,7,24]]},"reference":[{"issue":"2","key":"1166_CR1","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1109\/TNNLS.2021.3100554","volume":"4","author":"YQ Liu","year":"2023","unstructured":"Liu YQ, Sun YN, Xue B, Zhang MJ, Yen GG, Tan KC (2023) A survey on evolutionary neural architecture search. 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