Computational Analysis and Deep Learning for Medical Care (eBook)

Principles, Methods, and Applications

Amit Kumar Tyagi (Herausgeber)

eBook Download: PDF

2021
John Wiley & Sons (Verlag)
978-1-119-78574-3 (ISBN)

Infos

This book discuss how deep learning can help healthcare images or text data in making useful decisions'. For that, the need of reliable deep learning models like Neural networks, Convolutional neural network, Backpropagation, Recurrent neural network is increasing in medical image processing, i.e., in Colorization of Black and white images of X-Ray, automatic machine translation, object classification in photographs / images (CT-SCAN), character or useful generation (ECG), image caption generation, etc. Hence, Reliable Deep Learning methods for perception or producing belter results are highly effective for e-healthcare applications, which is the challenge of today. For that, this book provides some reliable deep leaning or deep neural networks models for healthcare applications via receiving chapters from around the world. In summary, this book will cover introduction, requirement, importance, issues and challenges, etc., faced in available current deep learning models (also include innovative deep learning algorithms/ models for curing disease in Medicare) and provide opportunities for several research communities with including several research gaps in deep learning models (for healthcare applications).

Autor

Amit Kumar Tyagi is an assistant professor and senior researcher at Vellore Institute of Technology (VIT), Chennai Campus, India. He received his PhD in 2018 from Pondicherry Central University, India. He has published more than 8 patents in the area of deep learning, Internet of Things, cyber physical systems and computer vision.

Produkt-Details

• Erscheint lt. Verlag: 2.8.2021
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Schlagworte: Artificial Intelligence • biomedical engineering • Biomedizintechnik • Computer Science • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Informatik • Künstliche Intelligenz • Medical Informatics & Biomedical Information Technology • Medizininformatik u. biomedizinische Informationstechnologie • Medizinische Informatik • Systems Engineering & Management • Systemtechnik • Systemtechnik u. -management
• ISBN-10: 1-119-78574-X / 111978574X
• ISBN-13: 978-1-119-78574-3 / 9781119785743