{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T18:03:28Z","timestamp":1791569008187,"version":"4.3.4"},"reference-count":12,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T00:00:00Z","timestamp":1649030400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010023","name":"Natural Science Research of Jiangsu Higher Education Institutions of China","doi-asserted-by":"publisher","award":["19KJB520017"],"award-info":[{"award-number":["19KJB520017"]}],"id":[{"id":"10.13039\/501100010023","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010023","name":"Natural Science Research of Jiangsu Higher Education Institutions of China","doi-asserted-by":"publisher","award":["202010313014Z"],"award-info":[{"award-number":["202010313014Z"]}],"id":[{"id":"10.13039\/501100010023","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010023","name":"Natural Science Research of Jiangsu Higher Education Institutions of China","doi-asserted-by":"publisher","award":["Z2020032"],"award-info":[{"award-number":["Z2020032"]}],"id":[{"id":"10.13039\/501100010023","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Projects for 2020 College Student Innovation Program","award":["19KJB520017"],"award-info":[{"award-number":["19KJB520017"]}]},{"name":"Projects for 2020 College Student Innovation Program","award":["202010313014Z"],"award-info":[{"award-number":["202010313014Z"]}]},{"name":"Projects for 2020 College Student Innovation Program","award":["Z2020032"],"award-info":[{"award-number":["Z2020032"]}]},{"name":"Projects for Research on Medical in Jiangsu Commission of Health","award":["19KJB520017"],"award-info":[{"award-number":["19KJB520017"]}]},{"name":"Projects for Research on Medical in Jiangsu Commission of Health","award":["202010313014Z"],"award-info":[{"award-number":["202010313014Z"]}]},{"name":"Projects for Research on Medical in Jiangsu Commission of Health","award":["Z2020032"],"award-info":[{"award-number":["Z2020032"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2022,4,4]]},"abstract":"<jats:p>Brain tumors are the deadliest and most difficult to treat of all forms of cancer. Preoperative classification of brain tumors is conducive to the development of corresponding treatment plan. Take pituitary tumors as an example. Precisely judging the image data of pituitary tumor texture before surgery can provide a basis for the selection of surgical plan and prognosis. However, the existing methods require manual intervention, and the efficiency and accuracy are not high. In this paper, we proposed an automatic brain tumor texture diagnosis method for uneven sequence image data. First, for the small sample of pituitary tumor MRI image data, the T1 and T2 sequence data are uneven or missing; we used the CycleGAN model to perform data conversion between different domains to obtain a completely sampled MRI spatial sequence. Then, we used texture analysis+pseudo-label learning to label pituitary tumor data of some unknown labels. After that, we used the improved U-Net model based on CBAM to optimize feature extraction for pituitary tumor image data. Finally, we used the CRNN model to classify the degree of pituitary tumor texture based on the advantages of sequence data. The entire process only needs to provide labels for the entire sequence data, and the efficiency is greatly improved, with an accuracy rate of 94.23%.<\/jats:p>","DOI":"10.1155\/2022\/7746991","type":"journal-article","created":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T01:35:16Z","timestamp":1649122516000},"page":"1-11","source":"Crossref","is-referenced-by-count":2,"title":["MR Image Classification for Brain Tumor Texture Based on Pseudo-Label Learning and Optimized Feature Extraction"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1330-7493","authenticated-orcid":true,"given":"Qianqian","family":"Xu","sequence":"first","affiliation":[{"name":"School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7805-5165","authenticated-orcid":true,"given":"Huachang","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4436-4557","authenticated-orcid":true,"given":"Jie","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4950-2629","authenticated-orcid":true,"given":"Mingxia","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3090-162X","authenticated-orcid":true,"given":"Min","family":"Li","sequence":"additional","affiliation":[{"name":"School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5730-9429","authenticated-orcid":true,"given":"Jinhui","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1676-940X","authenticated-orcid":true,"given":"Hong","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China"},{"name":"Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1210\/er.2012-1013"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-020-01230-x"},{"key":"3","first-page":"4273","article-title":"DuDoRNet: learning a dual-domain recurrent network for fast MRI reconstruction with deep T1 prior","author":"B. 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Yang","year":"2019","journal-title":"Journal of Clinical Radiology"},{"issue":"12","key":"11","first-page":"19","article-title":"Mammogram texture analysis in differential diagnosis of benign and malignant breast nodules","volume":"26","author":"W. J. Peng","year":"2018","journal-title":"Chinese Journal of Medical Imaging"},{"issue":"4","key":"12","first-page":"5","article-title":"Value of texture analysis of peritumoral edema in differential diagnosis between glioblastoma and primary brain lymphoma","volume":"24","author":"Y. N. Song","year":"2019","journal-title":"Chinese Journal of Minimally Invasive Neurosurgery"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2022\/7746991.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2022\/7746991.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2022\/7746991.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T01:35:25Z","timestamp":1649122525000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/cmmm\/2022\/7746991\/"}},"subtitle":[],"editor":[{"given":"Hamidreza","family":"Mohafez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2022,4,4]]},"references-count":12,"alternative-id":["7746991","7746991"],"URL":"https:\/\/doi.org\/10.1155\/2022\/7746991","relation":{},"ISSN":["1748-6718","1748-670X"],"issn-type":[{"value":"1748-6718","type":"electronic"},{"value":"1748-670X","type":"print"}],"subject":[],"published":{"date-parts":[[2022,4,4]]}}}