Computational Analysis and Deep Learning for Medical Care: Principles, Methods, and Applications

Description

The book details deep learning models like ANN, RNN, LSTM, in many industrial sectors such as transportation, healthcare, military, agriculture, with valid and effective results, which will help researchers find solutions to their deep learning research problems. We have entered the era of smart world devices, where robots or machines are being used in most applications to solve real-world problems. These smart machines/devices reduce the burden on doctors, which in turn make their lives easier and the lives of their patients better, thereby increasing patient longevity, which is the ultimate goal of computer vision. Therefore, the goal in writing this book is to attempt to provide complete information on reliable deep learning models required for e-healthcare applications. Ways in which deep learning can enhance healthcare images or text data for making useful decisions are discussed. Also presented are reliable deep learning models, such as neural networks, convolutional neural networks, backpropagation, and recurrent neural networks, which are increasingly being used in medical image processing, including for colorization of black and white X-ray images, automatic machine translation images, object classification in photographs/images (CT scans), character or useful generation (ECG), image caption generation, etc. Hence, reliable deep learning methods for the perception or production of better results are a necessity for highly effective e-healthcare applications. Currently, the most difficult data-related problem that needs to be solved concerns the rapid increase of data occurring each day via billions of smart devices. To address the growing amount of data in healthcare applications, challenges such as not having standard tools, efficient algorithms, and a sufficient number of skilled data scientists need to be overcome. Hence, there is growing interest in investigating deep learning models and their use in e-healthcare applications. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in transportation, healthcare, biomedicine, military, agriculture.

Get the book

Amazon.com

Search the book

eBay.com

Search the book

Similar books

• 

  Family History Digital Libraries

  By William Sims Bainbridge

  One named Sara and Timberlake had 11 male workers, 1 female worker, and 4 children workers, so it might have employed the Minor family.

• 

  Foundation Dreamweaver MX

  By Craig Grannell, Jerome Turner, Matt Stephens

  So here's what we need to do to arrive at our layout: s Create the main table to hold all the page elements. s Deal with the navigation area which is ...

• 

  Cisco CCNA Certification, 2 Volume Set: Exam 200-301

  By Todd Lammle

  This inclusive, two-book set provides what you need to know to succeed on the new CCNA exam. The set includes Understanding Cisco Networking Technologies: Volume 1 and the CCNA Certification Study Guide: Volume 2.

• 

  CompTIA Network+ Study Guide: Exam N10-006

  By Todd Lammle

  ... you can use: –a –A –c –n –r –R –S –s All nbtstat switches are case sensitive. Generally speaking, lowercase switches deal with NetBIOS names of hosts, ...

• 

  CompTIA Network+ Study Guide with Online Labs: N10-007 Exam

  By Todd Lammle, Jon Buhagiar

  ... you can use: –a –A –c –n –r –R –S –s All nbtstat switches are case sensitive. Generally speaking, lowercase switches deal with NetBIOS names of hosts, ...

• 

  CCNA: Cisco Certified Network Associate FastPass

  By Todd Lammle

  S The S reference point defines the point between the customer router and an ... with the letter E deal with using ISDN on the existing telephone network.

• 

  Stranger in the Chat Room

  By Todd Hafer, Jedd Hafer

  A sequel to In the Chat Room With God finds a group of teens contacted by a mysterious and increasingly malevolent character who claims to know about their encounters with the Almighty and challenges their beliefs. Original.

• 

  Error Correction Coding: Mathematical Methods and Algorithms

  By Todd K. Moon

  M M−1∑ k=0 −∞ ∞ k=0 The average energy per signal E s ∫ can be related to the ... we will deal primarily with additive white Gaussian noise (AWGN), ...

• 

  Security+ Training Guide

  By Todd King

  ... to deal with most , but unfortunately not all , of these potential threats . ... The S / MIME standard implements encryption for message content using ...

• 

  CCDA: Cisco Certified Design Associate Study Guide: Exam 640-861

  By Todd Lammle, Andy Barkl

  S reference point The S reference point defines the reference point between ... with the letter E deal with using ISDN on the existing telephone network.