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In this work, the development of a store-and-forward (SAF) teledermoscopy system was considered. The dermoFeatures profile (DP) was proposed to decrease the size of the original dermoscopy image using its most significant features in the form of a newly generated diagonal alignment to generate a small-sized image DP, which is based on the extraction of a weighted intensity-difference frequency (WIDF) features along with morphological features (MOFs). These DPs were assembled to establish a Diagnostic Multiple-patient DermoFeature Profile (DMpDP). Different arrangements are proposed, namely the <jats:italic>horizontally aligned<\/jats:italic>, the <jats:italic>diagonal-based<\/jats:italic>, and the <jats:italic>sequential-based<\/jats:italic> DMpDPs to support the SAF systems. The DMpDPs are then embedded in a recorded patient-information signal (RPS) using a weight factor <jats:italic>\u03b2<\/jats:italic> to boost the transmitted patient-information signal. The effect of the different transform domains, <jats:italic>\u03b2<\/jats:italic> values, and number of DPs within the DMpDP were investigated in terms of the diagnostic classification accuracy at the receiver based on the extracted DPs, along with the recorded signal quality evaluation metrics of the recovered RPS. The sequential-based DMpDP achieved the highest classification accuracy, under\u2009\u2212\u20095\u00a0dB additive white Gaussian noise, with a realized signal-to-noise ratio of 98.79% during the transmission of 248 DPs using <jats:italic>\u03b2<\/jats:italic>\u2009=\u2009100, and spectral subtraction filtering.<\/jats:p>\n                <jats:p><jats:bold>Graphical Abstract<\/jats:bold><\/jats:p>","DOI":"10.1007\/s11517-023-02982-0","type":"journal-article","created":{"date-parts":[[2023,12,19]],"date-time":"2023-12-19T01:02:52Z","timestamp":1702947772000},"page":"973-996","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["DMpDP: a Diagnostic Multiple-patient DermoFeature Profile store-and-forward teledermoscopy system"],"prefix":"10.1007","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3217-6185","authenticated-orcid":false,"given":"Amira S.","family":"Ashour","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Basant S.","family":"Abd El-Wahab","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maram A.","family":"Wahba","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dimitrios I.","family":"Fotiadis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,12,19]]},"reference":[{"key":"2982_CR1","doi-asserted-by":"publisher","first-page":"101800","DOI":"10.1016\/j.media.2020.101800","volume":"66","author":"H Greenspan","year":"2020","unstructured":"Greenspan H, Est\u00e9par RSJ, Niessen WJ, Siegel E, Nielsen M (2020) Position paper on COVID-19 imaging and AI: from the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare. 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