Based on a user suggestion, the Library has recently added Deep Learning for Medical Image Analysis to our collection. This book gives a clear understanding of the principles and methods of deep learning concepts, showing how they have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Key features of this text include

• Common research problems and challenges in medical image analysis
• Deep learning methods and the theories behind approaches for medical image analysis
• How algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology

Deep Learning for Medical Image Analysis may be accessed through our eBook A-Z listing or by searching Summon.