Grand challenges in Medical Imaging using Deep Learning
Radboud Universitair Medisch Centrum, Department of Medical Imaging , Radboud Universitair Medisch Centrum , Radboud universitair medisch centrum, Department of Radiation Oncology, Radiotherapy and OncoImmunology Laboratory , Radboud universitair medisch centrum, Pathologie , Radboud universitair medisch centrum
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Radboud Universitair Medisch Centrum, Department of Medical Imaging , Radboud Universitair Medisch Centrum , Radboud universitair medisch centrum, Department of Radiation Oncology, Radiotherapy and OncoImmunology Laboratory , Radboud universitair medisch centrum, Pathologie , Radboud universitair medisch centrum
In this project, we ask teams of students to take part in four running scientific medical image analysis challenges. In the project, they will apply knowledge and skills in image analysis and machine learning acquired in the first part of the course, especially deep learning technology. Our goal is that the students become familiar with deep learning techniques used in medical image analysis and that they learn to apply and compare the effectiveness of different approaches in a challenging real-world problem.
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