Information Technology in Biomedicine

This book provides a comprehensive overview of advances in the field of medical data science, presenting carefully selected articles by leading information technology experts. Information technology, as a rapidly evolving discipline in medical data science, with significant potential in future healt...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Pietka, Ewa (Editor), Badura, Pawel (Editor), Kawa, Jacek (Editor), Wieclawek, Wojciech (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Advances in Intelligent Systems and Computing, 1011
Subjects:
Computational intelligence.
Biomedical engineering.
Medical informatics.
Artificial intelligence.
Computational Intelligence.
Biomedical Engineering and Bioengineering.
Health Informatics.
Artificial Intelligence.
Online Access:Full-text access
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.

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