{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:42:53Z","timestamp":1702600973303},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684703","type":"print"},{"value":"9781643684710","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T00:00:00Z","timestamp":1702339200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,12]]},"abstract":"<jats:p>Deep learning is important for early warning of Alzheimer\u2019s disease in imaging histology studies. In order to realize the early warning of medical images based on deep learning models, traditional machine learning and deep learning models as well as techniques such as confusion matrix and ROC are combined to complete the model classification situation evaluation function, and finally visualize the results of deep learning VGG outperforming the effect of traditional machine learning models. The conclusion of the deep learning VGG model shows that the deep learning model is feasible or meaningful after certain pre-processing and in early Alzheimer\u2019s disease image classification, and has an important role in early medical image recognition of certain diseases.<\/jats:p>","DOI":"10.3233\/faia231107","type":"book-chapter","created":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T15:10:39Z","timestamp":1702566639000},"source":"Crossref","is-referenced-by-count":0,"title":["Classification for Early Imaging of Alzheimer\u2019s Disease Based on Deep Learning"],"prefix":"10.3233","author":[{"given":"Xiuxu","family":"Li","sequence":"first","affiliation":[{"name":"School of Medical Information and Engineering, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai\u2019an, 271016, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lanhua","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Medical Information and Engineering, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai\u2019an, 271016, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodong","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Medical Information and Engineering, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai\u2019an, 271016, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin","family":"Wang","sequence":"additional","affiliation":[{"name":"Cybersecurity Industry Development Center (Information Center) of Ministry of Industry and Information Technology, Beijing, 100846, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining IX"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA231107","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T15:10:40Z","timestamp":1702566640000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA231107"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,12]]},"ISBN":["9781643684703","9781643684710"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia231107","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,12]]}}}