{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:03:56Z","timestamp":1755219836424,"version":"3.43.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686080","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"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":[[2025,8,7]]},"abstract":"<jats:p>With the rapid advancement of medical technology, medical imaging plays an increasingly important role in clinical diagnosis. However, the interpretation of ultrasound images and the writing of reports usually require professionals such as physicians or ultrasound technicians, which not only consumes a significant amount of time but also adds to their workload. To enhance the efficiency of diagnostic report generation, this study proposes an automated processing framework based on image preprocessing techniques and optimized OCR algorithms. The framework aims to accurately identify annotations, lesion names, and measurement values in ultrasound images.<\/jats:p>","DOI":"10.3233\/shti250975","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:36:56Z","timestamp":1754566616000},"source":"Crossref","is-referenced-by-count":0,"title":["A Study on the Enhancement Mechanism for Identifying Annotations on Ultrasound Images"],"prefix":"10.3233","author":[{"given":"Cheng-Jung","family":"Wu","sequence":"first","affiliation":[{"name":"Master of Science in Information Security, National Taipei University of Technology, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Chih","family":"Wei","sequence":"additional","affiliation":[{"name":"Department of Information and Finance Management, National Taipei University of Technology, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chi-Feng","family":"Wu","sequence":"additional","affiliation":[{"name":"Tungs\u2019 Taichung MetroHarbor Hospital, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2025 \u2014 Healthcare Smart \u00d7 Medicine Deep"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250975","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:36:56Z","timestamp":1754566616000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250975"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250975","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}