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DTSTART;TZID=+01:00:20231103T091500
DTEND;TZID=+01:00:20231103T235900
DTSTAMP:20260601T135807
CREATED:20230505T122642Z
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SUMMARY:PhD Defense: Generalisation and reliability of deep learning for digital pathology in a clinical setting
DESCRIPTION:Welcome to the Doctoral Defense of Milda Pocevičiūtė \nDate and time: November 3\, 09:15\n \nLocation: Wrannesalen\, Center for Medical Image Science and Visualization\, Linköping University Hospital\, Linköping \nDoctoral student: Milda Pocevičiūtė\, Department of Science and Technology\, Linköping University \nTitle: Generalisation and reliability of deep learning for digital pathology in a clinical setting \nSupervisor: Claes Lundström\, Adjunct Professor\, Department of Science and Technology\, Linköping University \nOpponent: Professor Nasir Rajpoot\, Department of Computer Science\, University of Warwick\, UK
URL:https://wasp-sweden.org/event/phd-defense-generalisation-and-reliability-of-deep-learning-for-digital-pathology-in-a-clinical-setting/
LOCATION:Wrannesalen\, CMIV\, Linköping University Hospital\, Wrannesalen\, CMIV\, Linköping University Hospital\, Linköping\, Sweden
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