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 challenges

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  • UserProf Lena Maier-Hein from DKFZ in Heidelberg
  • ClockMonday 14 December 2020, 15:00-16:15
  • HouseZOOM (live).

If you have a question about this talk, please contact Anna Toporska.

Please email anna.toporska@cruk.cam.ac.uk by Friday 11th December to receive a ZOOM registration link

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.

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