ESTRO37_ProgrammeBook

14:50 > Against the motion

Speaker: M. Van Vulpen (The Netherlands)

SP-0352

SUNDAY 22 APRIL 2018

15:10 > For the motion rebuttal

Speaker: C. Kirisits (Austria)

15:20 > Against the motion rebuttal

Speaker: M. Van Vulpen (The Netherlands)

15:30 > Discussion

SYMPOSIUM Applications of machine learning in radiation oncology 14:30 - 15:45  | ROOM 113-114

This symposium will cover a general overview of machine learning techniques in radiation oncology. The participants will get an overview of typical applications, and the session will include a useful introduction of “to do’s and don’ts” of machine learning. The use of radiomics and machine learning techniques for outcome modelling will be presented including a survey of studies which exploit deep learning methods for modelling. Finally, the use of deep learning for medical image analysis including segmentation and classification will be presented. Chair: K. Tanderup (Denmark) Co-Chair: A.L. Appelt (United Kingdom) 14:30 > Introduction to Machine Learning and its Application in Radiotherapy Speaker: I. El Naqa (USA)

SP-0353

14:55 > Machine learning for image segmentation Speaker: D. Rueckert (United Kingdom)

SP-0354

15:20 > Machine learning for radiomics and outcome modeling Speaker: M. Hatt (France)

SP-0355

SYMPOSIUM Advanced image acquisition and treatment verification 14:30 - 15:45  | ROOM 111 Chair: A. Vaandering (Belgium) Co-Chair: B. Kraan (The Netherlands)

14:30 > 4D MRI acquisition, imaging motion Speaker: M. McGarry (Ireland)

SP-0356

SCIENTIFIC PROGRAMME | Programme and Exhibition Guide

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