Deep Neural Networks for Multimodal Imaging and Biomedical Applications (Hardcover) (ISBN-13: 9781799835912)

The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.

Author: Annamalai Suresh
ISBN-10: 179983591X
ISBN-13: 9781799835912
Publisher: Medical Information Science Reference
Language: English
Published: 06/26/2020
Pages: 300
Format: Hardcover
Weight: 2.25lbs
Size: 11.00h x 8.50w x 0.75d