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Although the automatic detection and prediction of diseases such as melanoma and leukemia is still being investigated and studied in IoMT, existing approaches are not able to achieve a high degree of efficiency. Thus, with a new approach that provides better results, patients would access the adequate treatments earlier and the death rate would be reduced. Therefore, this paper introduces an IoMT proposal for medical images\u2019 classification that may be used anywhere, i.e., it is an ubiquitous approach. It was designed in two stages: first, we employ a transfer learning (TL)-based method for feature extraction, which is carried out using MobileNetV3; second, we use the chaos game optimization (CGO) for feature selection, with the aim of excluding unnecessary features and improving the performance, which is key in IoMT. Our methodology was evaluated using ISIC-2016, PH2, and Blood-Cell datasets. The experimental results indicated that the proposed approach obtained an accuracy of 88.39% on ISIC-2016, 97.52% on PH2, and 88.79% on Blood-cell datsets. Moreover, our approach had successful performances for the metrics employed compared to other existing methods.<\/jats:p>","DOI":"10.1155\/2022\/9112634","type":"journal-article","created":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T00:20:07Z","timestamp":1657758007000},"page":"1-22","source":"Crossref","is-referenced-by-count":29,"title":["Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8858-6197","authenticated-orcid":true,"given":"Alhassan","family":"Mabrouk","sequence":"first","affiliation":[{"name":"Mathematics and Computer Science Department, Faculty of Science, Beni-Suef University, Beni Suef 62511, Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4561-2185","authenticated-orcid":true,"given":"Abdelghani","family":"Dahou","sequence":"additional","affiliation":[{"name":"Mathematics and Computer Science Department, University of Ahmed Draia, 01000 Adrar, Algeria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7682-6269","authenticated-orcid":true,"given":"Mohamed Abd","family":"Elaziz","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Faculty of Science, Zagazig University, Zagazig 44519, Egypt"},{"name":"Faculty of Computer Science and Engineering, Galala University, Suez 435611, Egypt"},{"name":"Artificial Intelligence Research Center (AIRC), Ajman University, P.O. 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