Introduction to deep learning for medical imaging. Free & online one-day course aimed at anyone with an interest in practical applications of deep learning in the medical field. Date, time & registration To accomodate those from around the world, two repeat sessions will be run for this webinar. One in the morning, & one in the afternoon. Session 1 28 Apr 2020, 08:30 - 11:30 BST Session 2 28 Apr 2020, 15:00 - 18:00 BST Registration: the webinar is free but registration is required as space is limited. Please register, here. Organisers: Dr Maria Valdez-Hernandez, Centre for Clinical Brain Sciences, Lecturer in Row Fogo centre for Research into Ageing & the Brain Dr Julia Hoerner, MathWorks Dr Martina Sciola, MathWorks Highlights: Fundamental theory of deep learning for classification & regression problems Deep learning workflow in MATLAB Access & explore various pretrained models Use transfer learning to build a network for image classification Learn how to evaluate the network & improve its accuracy Explore examples of deep learning in medical imaging Date, time & registration To accomodate those from around the world, two repeat sessions will be run for this webinar. One in the morning, & one in the afternoon. Session 1 28 Apr 2020, 08:30 - 11:30 BST Session 2 28 Apr 2020, 15:00 - 18:00 BST Registration: the webinar is free but registration is required as space is limited. Please register, here. Click here for further information on the Introduction to Deep Learning for Medical Imaging. Relevant links Further information on the Introduction to Deep Learning for Medical Imaging Registration for the Introduction to Deep Learning for Medical Imaging Dr Maria Valdez-Hernandez Centre for Clinical Brain Sciences MathWorks Publication date 08 Apr, 2020
