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How do scientists uncover phenomena and explain their connections? How do engineers design machines, methods and infrastructure? At omega tau, experts give detailed answers. Over the last ten years, we have produced over 350 episodes in which we dug deeper, until we ran out of questions. Join us on our journey through the world of science and engineering: the closer you look and listen, the more interesting things get.
Episode 23: NLP/Transformer Models for Radiology
Manage episode 343348115 series 2661709
Radiological Society of North America (RSNA) tarafından hazırlanmış olup, Player FM ve topluluğumuz tarafından keşfedilmiştir. Telif hakkı Player FM'e değil, yayıncıya ait olup; yayın direkt olarak onların sunucularından gelmektedir. Abone Ol'a basarak Player FM'den takip edebilir ya da URL'yi diğer podcast uygulamalarına kopyalarak devam edebilirsiniz.
In this episode Drs Paul Yi, Ali Tejani, and Jae Ho Sohn diccuss the topic of bidirectional encoder representations from transformers (BERT) models in relation to radiology.
Radiology: Artificial Intelligence Journal
-Paul Yi, MD, Assistant Professor and Director of University of Maryland Medical Intelligent Imaging Center -Ali Tejani, MD, Radiology: Artificial Intelligence Podcast Co-host -Jae Ho Sohn, MD, Assistant Professor at the University of California San Francisco
28 bölüm
