Deep Neural Networks for Multimodal Imaging and Biomedical Applications

This book PDF is perfect for those who love Computers genre, written by Suresh, Annamalai and published by IGI Global which was released on 26 June 2020 with total hardcover pages 294. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Deep Neural Networks for Multimodal Imaging and Biomedical Applications books below.

Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Author : Suresh, Annamalai
File Size : 49,9 Mb
Publisher : IGI Global
Language : English
Release Date : 26 June 2020
ISBN : 9781799835929
Pages : 294 pages
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Deep Neural Networks for Multimodal Imaging and Biomedical Applications by Suresh, Annamalai Book PDF Summary

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.

Deep Neural Networks for Multimodal Imaging and Biomedical Applications

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

Get Book
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