DESCRIPTION SCOPE Current machine learning techniques are able to achieve spectacular results in automatic understanding of natural images whereas in the area of medical image analysis the progress is not that evident. The problem is medical knowledge essential for proper interpretation of image content. That knowledge, possessed by relatively small number of radiological experts, usually cannot be directly expressed using mathematical formulas. This can be overcome by laborious knowledge acquisition or by techniques to some extent imitating expert behaviour. Both approaches are, however, still challenging tasks. That is why the goal of the special session is to discuss the problems in acquisition

Date : 19th January 2018 to 21st January 2018

Place : Portugal, Santa cruz

Website :https://www.eventbrite.com/e/kalsimis-2018-knowledge-acquisition-and-learning-in-semantic-interpretation-of-medical-image-tickets-37125048018?aff=NDT

Contact Person:Paula Edwards

Description:

DESCRIPTION SCOPE Current machine learning techniques are able to achieve spectacular results in automatic understanding of natural images whereas in the area of medical image analysis the progress is not that evident. The problem is medical knowledge essential for proper interpretation of image content. That knowledge, possessed by relatively small number of radiological experts, usually cannot be directly expressed using mathematical formulas. This can be overcome by laborious knowledge acquisition or by techniques to some extent imitating expert behaviour. Both approaches are, however, still challenging tasks. That is why the goal of the special session is to discuss the problems in acquisition

DESCRIPTION SCOPE Current machine learning techniques are able to achieve spectacular results in automatic understanding of natural images whereas in the area of medical image analysis the progress is not that evident. The problem is medical knowledge essential for proper interpretation of image content. That knowledge, possessed by relatively small number of radiological experts, usually cannot be directly expressed using mathematical formulas. This can be overcome by laborious knowledge acquisition or by techniques to some extent imitating expert behaviour. Both approaches are, however, still challenging tasks. That is why the goal of the special session is to discuss the problems in acquisition will be held in Santa cruz,Portugal on date 2018-01-21

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Deadline for abstracts/proposals : 18th January 2018

Keynote Speakers : Corina Sas Lancaster University United Kingdom Brief Bio Dr Sas builds on extensive expertise is Human Computer Interaction and user experience to design technologies for wellbeing and health, including those for self-monitoring, self-awareness and self-regulation. She has been Associate Chair for the top ACM Computer Human Interaction and Designing Interactive Systems conferences, Chair of British Human Computer Interaction conference, and served in Programme Committees in over 20 c

Conference Highlights :Keynote Lectures Anatole Lécuyer, Inria Rennes/IRISA, Hybrid Research Team, France Corina Sas, Lancaster University, United Kingdom Maximiliano Romero, Università Iuav di Venezia, Italy

Venue :Santa Cruz, Portugal

Check the event website for more details.