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University of Cambridge > Talks.cam > Seminars on Quantitative Biology @ CRUK Cambridge Institute > Deep learning in medical imaging - successes, pitfalls and challenges
Deep learning in medical imaging - successes, pitfalls and challengesAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Anna Toporska. This talk has been canceled/deleted Machine learning has begun to revolutionize almost all areas of health research. Success stories cover a wide variety of application fields ranging from radiology and dermatology to gastroenterology and mental health applications. Strikingly, however, (1) such widely known success stories appear to be lacking in some subfields of healthcare, such as surgery and (2) solutions that perform favorably in research have generally not been translated to clinical practice. This talk will therefore discuss challenges, pitfalls as well as new research directions and strategies for enabling clinical AI-based healthcare, with a specific focus on interventional biomedical image analysis. This talk is part of the Seminars on Quantitative Biology @ CRUK Cambridge Institute series. This talk is included in these lists:This talk is not included in any other list Note that ex-directory lists are not shown. |
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