Skip to main content
SpringerLink
Log in

Information Technology in Biomedicine

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Ewa Pietka

    1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Pawel Badura

    1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Jacek Kawa

    1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Wojciech Wieclawek

    1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents recent research on information technologies in medicine
  • Includes the scientific outcomes of the 7th International Conference Information Technologies in Biomedicine, held Kamien Slaski, Poland, June 17–19, 2019
  • Combines modern information technologies and clinical medicine from both theoretical and applied perspectives

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1011)

Included in the following conference series:

Conference proceedings info: ITIB 2019.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (57 papers)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Quantitative Data Analysis in Medical Diagnosis

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Functional Thermal Imaging of Skin Tissue Using the Discrete Thermal Time Constants Spectrum

      • Maria Strąkowska, Robert Strąkowski, Michał Strzelecki
      Pages 3-12

    3. Contextual Classification of Tumor Growth Patterns in Digital Histology Slides

      • Zaneta Swiderska-Chadaj, Zhaoxuan Ma, Nathan Ing, Tomasz Markiewicz, Malgorzata Lorent, Szczepan Cierniak et al.
      Pages 13-25

    4. Cervical Histopathology Image Classification Using Ensembled Transfer Learning

      • Chen Li, Dan Xue, Fanjie Kong, Zhijie Hu, Hao Chen, Yudong Yao et al.
      Pages 26-37

    5. Functional Kidney Analysis Based on Textured DCE-MRI Images

      • Marcin Kociołek, Michał Strzelecki, Artur Klepaczko
      Pages 38-49

    6. Incorporating Patient Photographs in the Radiology Image Acquisition and Interpretation Process

      • Elizabeth A. Krupinski
      Pages 50-55

    7. Iterative Statistical Reconstruction Algorithm Based on C-C Data Model with the Direct Use of Projections Performed in Spiral Cone-Beam CT Scanners

      • Robert Cierniak, Piotr Pluta
      Pages 56-66

    8. Deformable Mesh for Regularization of Three-Dimensional Image Registration

      • Piotr M. Szczypiński, Artur Klepaczko
      Pages 67-78

    9. Simulator for Modelling Confocal Microscope Distortions

      • Katarzyna Sprawka, Piotr M. Szczypiński
      Pages 79-90

  3. Medical Data Science

    1. Front Matter

      Pages 91-91
      Download chapter PDF

    2. Electromyography Based Translator of the Polish Sign Language

      • Noemi Kowalewska, Przemysław Łagodziński, Marcin Grzegorzek
      Pages 93-102

    3. Electrooculography Application in Vision Therapy Using Smart Glasses

      • Maja Trzepacz, Przemysław Łagodziński, Marcin Grzegorzek
      Pages 103-116

    4. Assessment of Muscle Fatigue, Strength and Muscle Activation During Exercises with the Usage of Robot Luna EMG, Among Patients with Multiple Sclerosis

      • Krystyna Stańczyk, Anna Poświata, Anna Roksela, Michał Mikulski
      Pages 117-128

    5. Information Models of Dynamics in Healthcare

      • Václav Řepa
      Pages 129-140

    6. Effects of External Conditions to Chaotic Properties of Human Stability

      • Radek Halfar, Martina Litschmannová, Martin Černý
      Pages 141-150

    7. A Preliminary Evaluation of Transferring the Approach Avoidance Task into Virtual Reality

      • Tanja Joan Eiler, Armin Grünewald, Alla Machulska, Tim Klucken, Katharina Jahn, Björn Niehaves et al.
      Pages 151-163

  4. Data Mining Tools and Methods in Medical Applications

    1. Front Matter

      Pages 165-165
      Download chapter PDF

    2. Convolutional Neural Networks in Speech Emotion Recognition – Time-Domain and Spectrogram-Based Approach

      • Bartłomiej Stasiak, Sławomir Opałka, Dominik Szajerman, Adam Wojciechowski
      Pages 167-178

    3. Convolutional Neural Networks for Computer Aided Diagnosis of Interdental and Rustling Sigmatism

      • Andre Woloshuk, Michal Krecichwost, Zuzanna Miodonska, Dominika Korona, Pawel Badura
      Pages 179-186
Back to top

Other volumes

  1. Information Technology in Biomedicine

Keywords

About this book

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 healthcare, and multimodal acquisition systems, mobile devices, sensors, and AI-powered applications has redefined the optimization of clinical processes. This book features an interdisciplinary collection of papers that have both theoretical and applied dimensions, and includes the following sections:

Medical Data Science

Quantitative Data Analysis in Medical Diagnosis

Data Mining Tools and Methods in Medical Applications

Image Analysis

Analytics in Action on SAS Platform

Biocybernetics in Physiotherapy

Signal Processing and Analysis

Medical Tools & Interfaces

Biomechanics and Biomaterials.



As such, it is a valuable reference tool for scientists designing and implementing information processing tools used in systems that assist clinicians in patient care. It is also useful for students interested in innovations in quantitative medical data analysis, data mining, and artificial intelligence.

Editors and Affiliations

  • Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Ewa Pietka, Pawel Badura, Wojciech Wieclawek

  • Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation