Information Technology in Biomedicine

by Ewa Pietka (Editor), Pawel Badura (Editor), Jacek Kawa (Editor), Wojciech Wieclawek (Editor)

Overview

The rapid and continuous growth in the amount of available medical information and the variety of multimodal content has created demand for a fast and reliable technology capable of processing data and delivering results in a user-friendly manner, whenever and wherever the information is needed. Multimodal acquisition systems, AI-powered applications, and biocybernetic support for medical procedures, physiotherapy and prevention have opened up exciting new avenues in terms of optimizing the healthcare system for the benefit of patients. This book presents a comprehensive study on the latest advances in medical data science and gathers carefully selected articles written by respected experts on information technology. Pursuing an interdisciplinary approach and addressing both theoretical and applied aspects, it chiefly focuses on:

Artificial Intelligence

Image Analysis

Sound and Motion in Physiotherapy and Physioprevention

Modeling and Simulation

Medical Data Analysis

Given its scope, the book offers a valuable reference tool for all scientists who deal with problems of designing and implementing information processing tools employed in systems that assist in patient diagnosis and treatment, as well as students who want to learn more about the latest innovations in quantitative medical data analysis, data mining, and artificial intelligence.

Product Details

ISBN-13:	9783030237622
Publisher:	Springer-Verlag New York, LLC
Publication date:	06/26/2019
Series:	Advances in Intelligent Systems and Computing , #1011
Sold by:	Barnes & Noble
Format:	eBook
File size:	134 MB
Note:	This product may take a few minutes to download.

Table of Contents

Chapter 1. Functional Thermal Imaging of Skin Tissue Using the Discrete Thermal Time Constants Spectrum.- Chapter 2.Contextual Classification of Tumor Growth Patterns in Digital Histology Slides.- Chapter 3. Cervical Histopathology Image Classification Using Ensembled Transfer Learning.- Chapter 4. Functional Kidney Analysis Based on Textured DCE-MRI Images.- Chapter 5. Incorporating Patient Photographs in the Radiology Image Acquisition & Interpretation Process.- Chapter 6. Iterative Statistical Reconstruction Algorithm Based on C-C Data Model with the Direct Use of Projections Performed in Spiral Cone-beam CT Scanners.- Chapter 7. Deformable Mesh for Regularization of Three-Dimensional Image Registration.- Chapter 8. Simulator for Modelling Confocal Microscope Distortions.- Chapter 9. Electromyography Based Translator of the Polish Sign Language.- Chapter 10. Electrooculography Application in Vision Therapy Using Smart Glasses.- Chapter 11.Assessment of Muscle Fatigue, Strength and Muscle Activation During Exercises with the Usage of Robot Luna EMG, Among Patients with Multiple Sclerosis.