{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:03:41Z","timestamp":1755219821091,"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>Diabetic retinopathy (DR) is a leading cause of blindness, and deep learning methods are extensively used for automated DR grading. This paper demonstrates how applying techniques such as oversampling, data augmentation, K-fold cross-validation, learning rate scheduling, and early stopping can significantly improve performance for models such as ResNet18 and ResNet50. Using the APTOS and EyePACS datasets, our results reveal a substantial accuracy improvement compared to prior methods, which rely on oversampling and data augmentation as baseline techniques. We obtained an accuracy of 97.78% on APTOS with ResNet18 and 93.80% on EyePACS with ResNet50, outperforming the baseline. The techniques presented offer a valuable framework that can complement and enhance the state-of-the-art methods for DR grading and beyond.<\/jats:p>","DOI":"10.3233\/shti250904","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:34:41Z","timestamp":1754566481000},"source":"Crossref","is-referenced-by-count":0,"title":["Sharper Detection: Enhanced Techniques for Diabetic Retinopathy Grading"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6571-6951","authenticated-orcid":false,"given":"Ali","family":"Rafiei","sequence":"first","affiliation":[{"name":"University of Alberta, Edmonton, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0060-5988","authenticated-orcid":false,"given":"Osmar R.","family":"Zaiane","sequence":"additional","affiliation":[{"name":"University of Alberta, Edmonton, Canada"}]}],"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\/SHTI250904","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:34:41Z","timestamp":1754566481000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250904"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250904","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]]}}}