{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,31]],"date-time":"2025-08-31T10:15:30Z","timestamp":1756635330484,"version":"3.37.3"},"reference-count":8,"publisher":"Wiley","license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61272176","60973071","110718001"],"award-info":[{"award-number":["61272176","60973071","110718001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61272176","60973071","110718001"],"award-info":[{"award-number":["61272176","60973071","110718001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["61272176","60973071","110718001"],"award-info":[{"award-number":["61272176","60973071","110718001"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2013]]},"abstract":"<jats:p>A novel method is proposed to establish the classifier which can classify the pancreatic images into normal or abnormal. Firstly, the brightness feature is used to construct high-order tensors, then using multilinear principal component analysis (MPCA) extracts the eigentensors, and finally, the classifier is constructed based on support vector machine (SVM) and the classifier parameters are optimized with quantum simulated annealing algorithm (QSA). In order to verify the effectiveness of the proposed algorithm, the normal SVM method has been chosen as comparing algorithm. The experimental results show that the proposed method can effectively extract the eigenfeatures and improve the classification accuracy of pancreatic images.<\/jats:p>","DOI":"10.1155\/2013\/713174","type":"journal-article","created":{"date-parts":[[2013,5,22]],"date-time":"2013-05-22T21:26:37Z","timestamp":1369257997000},"page":"1-7","source":"Crossref","is-referenced-by-count":4,"title":["Construction of Classifier Based on MPCA and QSA and Its Application on Classification of Pancreatic Diseases"],"prefix":"10.1155","volume":"2013","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1428-8776","authenticated-orcid":true,"given":"Huiyan","family":"Jiang","sequence":"first","affiliation":[{"name":"Software College, Northeastern University, Shenyang 110819, China"},{"name":"Key Laboratory of Medical Image Computing of Ministry of Education, Shenyang 110819, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3532-6951","authenticated-orcid":true,"given":"Di","family":"Zhao","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University, Shenyang 110819, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3876-4623","authenticated-orcid":true,"given":"Tianjiao","family":"Feng","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University, Shenyang 110819, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3450-4560","authenticated-orcid":true,"given":"Shiyang","family":"Liao","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University, Shenyang 110819, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yenwei","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Information Science and Engineering, Ritsumeikan University, Shiga 525-8577, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2008.04.003"},{"year":"2002","key":"3"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2007.901277"},{"issue":"1","key":"6","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1109\/3477.484436","volume":"26","year":"1996","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics B"},{"issue":"1","key":"9","first-page":"797","volume":"130","year":"2012","journal-title":"Advances in Intelligent and Soft Computing"},{"issue":"6","key":"10","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1109\/TEVC.2002.804320","volume":"6","year":"2002","journal-title":"IEEE Trans Evolutionary Computation"},{"issue":"9","key":"11","first-page":"1501","volume":"45","year":"2008","journal-title":"Journal of Computer Research and Development"},{"issue":"3","key":"12","first-page":"22","volume":"48","year":"2009","journal-title":"Acta Scientiarum Natralium Universitatis Sunyatseni"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2013\/713174.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2013\/713174.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2013\/713174.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T16:10:44Z","timestamp":1588954244000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cmmm\/2013\/713174\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"references-count":8,"alternative-id":["713174","713174"],"URL":"https:\/\/doi.org\/10.1155\/2013\/713174","relation":{},"ISSN":["1748-670X","1748-6718"],"issn-type":[{"type":"print","value":"1748-670X"},{"type":"electronic","value":"1748-6718"}],"subject":[],"published":{"date-parts":[[2013]]}}}