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Information Technology in Biomedicine

  • Book
  • © 2021

Overview

Editors:
  1. Ewa Pietka

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

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  2. Pawel Badura

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

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  3. Jacek Kawa

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

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  4. Wojciech Wieclawek

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

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  • Highlights cutting-edge research on Information Technologies in Medicine
  • Gathers the outcomes of the 8th International Conference on Information Technologies in Biomedicine, held on June 15 - 17, 2020 in Kamien Slaski, Poland
  • Combines modern information technologies and clinical medicine

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1186)

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Table of contents (29 chapters)

  1. Front Matter

    Pages i-x
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  2. Artificial Intelligence

    1. Front Matter

      Pages 1-1
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    2. Deep Learning Approach to Subepidermal Low Echogenic Band Segmentation in High Frequency Ultrasound

      • Joanna Czajkowska, Wojciech Dziurowicz, PaweÅ‚ Badura, Szymon Korzekwa
      Pages 3-12

    3. A Review of Clustering Methods in Microorganism Image Analysis

      • Chen Li, Frank Kulwa, Jinghua Zhang, Zihan Li, Hao Xu, Xin Zhao
      Pages 13-25

    4. MRFU-Net: A Multiple Receptive Field U-Net for Environmental Microorganism Image Segmentation

      • Chen Li, Jinghua Zhang, Xin Zhao, Frank Kulwa, Zihan Li, Hao Xu et al.
      Pages 27-40

    5. Deep Learning Approach to Automated Segmentation of Tongue in Camera Images for Computer-Aided Speech Diagnosis

      • Agata Sage, Zuzanna MiodoÅ„ska, MichaÅ‚ KrÄ™cichwost, Joanna Trzaskalik, Ewa KwaÅ›niok, PaweÅ‚ Badura
      Pages 41-51

  3. Image Analysis

    1. Front Matter

      Pages 53-53
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    2. 3-D Tissue Image Reconstruction from Digitized Serial Histologic Sections to Visualize Small Tumor Nests in Lung Adenocarcinomas

      • BartÅ‚omiej PyciÅ„ski, Yukako Yagi, Ann E. Walts, Arkadiusz Gertych
      Pages 55-70

    3. The Influence of Age on Morphometric and Textural Vertebrae Features in Lateral Cervical Spine Radiographs

      • Patrycja Mazur, RafaÅ‚ Obuchowicz, Adam Piórkowski
      Pages 71-80

    4. Evaluation of Shape from Shading Surface Reconstruction Quality for Liver Phantom

      • Mateusz Bas, Dominik Spinczyk
      Pages 81-93

    5. Pancreas and Duodenum—Automated Organ Segmentation

      • Piotr Zarychta
      Pages 95-105

    6. Evaluation of the Effect of a PCL/nanoSiO\(_2\) Implant on Bone Tissue Regeneration Using X-ray Micro-Computed Tomography

      • Magdalena JÄ™dzierowska, Marcin Binkowski, Robert Koprowski, Zygmunt Wróbel
      Pages 107-117

  4. Sound and Motion in Physiotherapy and Physioprevention

    1. Front Matter

      Pages 119-119
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    2. Effect of Various Types of Metro-Rhythmic Stimulations on the Variability of Gait Frequency

      • Robert Michnik, Katarzyna Nowakowska-Lipiec, Anna MaÅ„ka, Sandra Niedzwiedź, Patrycja Twardawa, Patrycja Romaniszyn et al.
      Pages 121-131

    3. Cross-Modal Music-Emotion Retrieval Using DeepCCA

      • Naoki Takashima, Frédéric Li, Marcin Grzegorzek, Kimiaki Shirahama
      Pages 133-145

    4. Computer-Based Analysis of Spontaneous Infant Activity: A Pilot Study

      • Iwona Doroniewicz, Daniel LedwoÅ„, Monika N. Bugdol, Katarzyna KieszczyÅ„ska, Alicja Affanasowicz, MaÅ‚gorzata Matyja et al.
      Pages 147-159

    5. Behavioral and Physiological Profile Analysis While Exercising—Case Study

      • Patrycja Romaniszyn, Damian Kania, Monika N. Bugdol, Anita Pollak, Andrzej W. Mitas
      Pages 161-173

    6. Psychophysiological State Changes Assesment Based on Thermal Face Image—Preliminary Results

      • Marta Danch-Wierzchowska, Marcin Bugdol, Andrzej W. Mitas
      Pages 175-185

    7. Application of Original System to Support Specialist Physiotherapy D4S in Correction of Postural Defects as Compared to Other Methods—A Review

      • Karol Bibrowicz, Tomasz Szurmik, Anna Lipowicz, Andrzej W. Mitas
      Pages 187-199

    8. Methods of Therapy of Scoliosis and Technical Functionalities of DISC4SPINE (D4S) Diagnostic and Therapeutic System

      • Tomasz Szurmik, Karol Bibrowicz, Anna Lipowicz, Andrzej W. Mitas
      Pages 201-212
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Keywords

About this book

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.

 

Editors and Affiliations

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

    Ewa Pietka, Pawel Badura, Jacek Kawa, Wojciech Wieclawek

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