{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T16:04:57Z","timestamp":1781193897780,"version":"3.54.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643682846","type":"print"},{"value":"9781643682853","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T00:00:00Z","timestamp":1653436800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,25]]},"abstract":"<jats:p>Thyroid Computer-Aided Diagnosis (CAD) systems have been developed to assist radiologists in improving efficiency, reliability, and diagnosis performance. Often the performance of these CAD systems is evaluated with different datasets that make it incomparable. A valuable thyroid ultrasound (US) dataset is presented in this work. This dataset consists of 2450 thyroid US images from 2018 to 2020 in Prospective Epidemiological Research Studies in Mashhad, Iran (PERSIAN), a large national cohort study. These US images have the ROI of thyroid nodules and the associated American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TIRADS) features by expert physicians provided in XML format. Dataset\u2019s images are categorized into five groups based on the ACR-TIRADS (Tirads1-Tirads5). The presented dataset is expected to be a valuable resource to develop and assess thyroid CAD systems to help radiologists better diagnose.<\/jats:p>","DOI":"10.3233\/shti220482","type":"book-chapter","created":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T12:14:18Z","timestamp":1653480858000},"source":"Crossref","is-referenced-by-count":4,"title":["Thyroid Ultrasound-Image Dataset"],"prefix":"10.3233","author":[{"given":"Yasaman","family":"Sharifi","sequence":"first","affiliation":[{"name":"Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susan","family":"Shafiei","sequence":"additional","affiliation":[{"name":"Nuclear Medicine Research Center, Mashhad University of Medical Sciences, Mashhad, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Morteza Danai","family":"Ashgzari","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Faculty of Engineering, Islamic Azad University of Mashhad, Mashhad, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seyed Rasoul","family":"Zakavi","sequence":"additional","affiliation":[{"name":"Nuclear Medicine Research Center, Mashhad University of Medical Sciences, Mashhad, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saeid","family":"Eslami","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran"},{"name":"Pharmaceutical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran"},{"name":"Department of Medical Informatics, Amsterdam UMC (location AMC), University of Amsterdam, Amsterdam, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Challenges of Trustable AI and Added-Value on Health"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220482","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T12:14:18Z","timestamp":1653480858000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220482"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,25]]},"ISBN":["9781643682846","9781643682853"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220482","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,25]]}}}