https://scholars.lib.ntu.edu.tw/handle/123456789/580837
標題: | Differentiation of gender from macular optical coherence tomography using deep learning | 作者: | Chueh K.-M YI-TING HSIEH Ma I.-H HOMER H. CHEN SHENG-LUNG HUANG |
關鍵字: | CNN; deep learning; Grad-CAM; macula; Optical coherence tomography | 公開日期: | 2020 | 來源出版物: | 25th Opto-Electronics and Communications Conference, OECC 2020 | 摘要: | Using deep learning algorithm on retina OCT images, patient gender can be predicted with an accuracy of greater than 70%. With Grad-CAM visualization, it was found that the foveal structure is highly gender related. ? 2020 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098727845&doi=10.1109%2fOECC48412.2020.9273562&partnerID=40&md5=e30504a1f2fe0f1a1831d74553c8ae47 https://scholars.lib.ntu.edu.tw/handle/123456789/580837 |
DOI: | 10.1109/OECC48412.2020.9273562 | SDG/關鍵字: | Learning algorithms; Optical tomography; OCT images; Deep learning |
顯示於: | 電機工程學系 |
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