Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

• Corporate Author: SpringerLink (Online service)
• Other Authors: Lu, Le (Editor, http://id.loc.gov/vocabulary/relators/edt), Wang, Xiaosong (Editor, http://id.loc.gov/vocabulary/relators/edt), Carneiro, Gustavo (Editor, http://id.loc.gov/vocabulary/relators/edt), Yang, Lin (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Advances in Computer Vision and Pattern Recognition,
• Subjects: Optical data processing.; Radiology.; Artificial intelligence.; Neural networks (Computer science) .; Image Processing and Computer Vision.; Imaging / Radiology.; Artificial Intelligence.; Mathematical Models of Cognitive Processes and Neural Networks.

This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases. I...