{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:53:58Z","timestamp":1760709238739},"reference-count":0,"publisher":"IGI Global","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,1,1]]},"abstract":"<p>The use of Computer-Aided Diagnosis in dermatology raises the necessity of integrating Content-Based Image Retrieval (CBIR) technologies. The latter could be helpful to untrained users as a decision support system for skin lesion diagnosis. However, classical CBIR systems perform poorly due to semantic gap. To alleviate this problem, we propose in this paper an intelligent Content-Based Dermoscopic Image Retrieval (CBDIR) system with Relevance Feedback (RF) for melanoma diagnosis that exhibits: efficient and accurate image retrieval as well as visual features extraction that is independent of any specific diagnostic method. After submitting a query image, the proposed system uses linear kernel-based active SVM, combined with histogram intersection-based similarity measure to retrieve the K most similar skin lesion images. The dominant (melanoma, benign) class in this set will be identified as the image query diagnosis. Extensive experiments conducted on our system using a 1097 image database show that the proposed scheme is more effective than CBDIR without the assistance of RF.<\/p>","DOI":"10.4018\/jitr.2017010106","type":"journal-article","created":{"date-parts":[[2017,1,25]],"date-time":"2017-01-25T15:49:14Z","timestamp":1485359354000},"page":"85-108","source":"Crossref","is-referenced-by-count":7,"title":["Intelligent Content-Based Dermoscopic Image Retrieval with Relevance Feedback for Computer-Aided Melanoma Diagnosis"],"prefix":"10.4018","volume":"10","author":[{"given":"Khadidja","family":"Belattar","sequence":"first","affiliation":[{"name":"Constantine 2 University, Constantine, Algeria"}]},{"given":"Sihem","family":"Mostefai","sequence":"additional","affiliation":[{"name":"Constantine 2 University, Constantine, Algeria"}]},{"given":"Amer","family":"Draa","sequence":"additional","affiliation":[{"name":"Constantine 2 University, Constantine, Algeria"}]}],"member":"2432","container-title":["Journal of Information Technology Research"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=176375","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,7]],"date-time":"2022-05-07T01:45:51Z","timestamp":1651887951000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/JITR.2017010106"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2017,1,1]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,1]]}},"URL":"https:\/\/doi.org\/10.4018\/jitr.2017010106","relation":{},"ISSN":["1938-7857","1938-7865"],"issn-type":[{"value":"1938-7857","type":"print"},{"value":"1938-7865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1,1]]}}}