{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T13:11:28Z","timestamp":1740143488202,"version":"3.37.3"},"reference-count":11,"publisher":"Wiley","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001700","name":"Japanese Ministry for Education, Science, Culture and Sports","doi-asserted-by":"crossref","award":["15H01130","16H01436","15K00253"],"award-info":[{"award-number":["15H01130","16H01436","15K00253"]}],"id":[{"id":"10.13039\/501100001700","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001700","name":"Japanese Ministry for Education, Science, Culture and Sports","doi-asserted-by":"crossref","award":["15H01130","16H01436","15K00253"],"award-info":[{"award-number":["15H01130","16H01436","15K00253"]}],"id":[{"id":"10.13039\/501100001700","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001700","name":"Japanese Ministry for Education, Science, Culture and Sports","doi-asserted-by":"crossref","award":["15H01130","16H01436","15K00253"],"award-info":[{"award-number":["15H01130","16H01436","15K00253"]}],"id":[{"id":"10.13039\/501100001700","id-type":"DOI","asserted-by":"crossref"}]},{"name":"MEXT Support Program for the Strategic Research Foundation at Private Universities","award":["15H01130","16H01436","15K00253"],"award-info":[{"award-number":["15H01130","16H01436","15K00253"]}]},{"DOI":"10.13039\/501100005405","name":"Ritsumeikan University","doi-asserted-by":"publisher","award":["15H01130","16H01436","15K00253"],"award-info":[{"award-number":["15H01130","16H01436","15K00253"]}],"id":[{"id":"10.13039\/501100005405","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010871","name":"Recruitment Program of Global Experts","doi-asserted-by":"crossref","award":["15H01130","16H01436","15K00253"],"award-info":[{"award-number":["15H01130","16H01436","15K00253"]}],"id":[{"id":"10.13039\/501100010871","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["International Journal of Biomedical Imaging"],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>Characterization and individual trait analysis of the focal liver lesions (FLL) is a challenging task in medical image processing and clinical site. The character analysis of a unconfirmed FLL case would be expected to benefit greatly from the accumulated FLL cases with experts\u2019 analysis, which can be achieved by content-based medical image retrieval (CBMIR). CBMIR mainly includes discriminated feature extraction and similarity calculation procedures. Bag-of-Visual-Words (BoVW) (codebook-based model) has been proven to be effective for different classification and retrieval tasks. This study investigates an improved codebook model for the fined-grained medical image representation with the following three advantages: (1) instead of SIFT, we exploit the local patch (structure) as the local descriptor, which can retain all detailed information and is more suitable for the fine-grained medical image applications; (2) in order to more accurately approximate any local descriptor in coding procedure, the sparse coding method, instead of <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mrow><mml:mi>K<\/mml:mi><\/mml:mrow><\/mml:math>-means algorithm, is employed for codebook learning and coded vector calculation; (3) we evaluate retrieval performance of focal liver lesions (FLL) using multiphase computed tomography (CT) scans, in which the proposed codebook model is separately learned for each phase. The effectiveness of the proposed method is confirmed by our experiments on FLL retrieval.<\/jats:p>","DOI":"10.1155\/2017\/1413297","type":"journal-article","created":{"date-parts":[[2017,2,13]],"date-time":"2017-02-13T21:01:00Z","timestamp":1487019660000},"page":"1-13","source":"Crossref","is-referenced-by-count":7,"title":["Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4317-5022","authenticated-orcid":true,"given":"Jian","family":"Wang","sequence":"first","affiliation":[{"name":"Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xian-Hua","family":"Han","sequence":"additional","affiliation":[{"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingying","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lanfen","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongjie","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Sir Run Run Shaw Hospital, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chongwu","family":"Jin","sequence":"additional","affiliation":[{"name":"Department of Radiology, Sir Run Run Shaw Hospital, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5952-0188","authenticated-orcid":true,"given":"Yen-Wei","family":"Chen","sequence":"additional","affiliation":[{"name":"Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan"},{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"2","doi-asserted-by":"publisher","DOI":"10.1118\/1.4739507"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2014.2329057"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0285-2"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/972037"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-012-9495-1"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2015.2478255"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-85729-748-8"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2006.244"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2042645"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1109\/tsp.2006.881199"}],"container-title":["International Journal of Biomedical Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijbi\/2017\/1413297.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijbi\/2017\/1413297.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijbi\/2017\/1413297.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,17]],"date-time":"2020-05-17T15:39:33Z","timestamp":1589729973000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/ijbi\/2017\/1413297\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":11,"alternative-id":["1413297","1413297"],"URL":"https:\/\/doi.org\/10.1155\/2017\/1413297","relation":{},"ISSN":["1687-4188","1687-4196"],"issn-type":[{"type":"print","value":"1687-4188"},{"type":"electronic","value":"1687-4196"}],"subject":[],"published":{"date-parts":[[2017]]}}}