Deep Learning And Convolutional Neural Networks For Medical Image Computing: Precision Medicine, High Performance And Large-scale Datasets (advances In Computer Vision And Pattern Recognition)
by Le Lu /
2018 / English / PDF
13.7 MB Download
This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing discusses the insightful research experience of Dr. Ronald M. Summers presents a comprehensive review of the latest research and literature describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.
