Tutorial I: Medical image analysis

The opportunities to use imaging to assist clinicians with diagnosis and assessment of the effectiveness of treatment plans have increased rapidly over the last few decades due to developments in imaging technologies and computer processing power. Many different medical image modalities exist such as Ultrasound, Magnetic Resonance Imaging (MRI), Computed Tomography (CT), etc. Development of computer vision algorithms have allowed researchers to refine medical image analysis techniques to assist clinicians in many aspects of patient medical care and research into causes of different conditions. Examples include diverse applications that range from diagnosis of lung nodules in MRI images, to recognition of the first signs of diabetic retinopathy in screening programmes that examine retinal fundus images. The computer vision techniques employed to achieve effective medical image analysis applications, encompass many areas of research and range from machine learning approaches to morphological techniques.