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Innovation in Medicine and Healthcare

Proceedings of 8th KES-InMed 2020

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Yen-Wei Chen

    1. College of Information Science and Engineering, Ritsumeikan University, Kusuatsu, Japan

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  2. Satoshi Tanaka

    1. College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan

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  3. Robert J. Howlett

    1. Bournemouth University, Poole, UK

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  4. Lakhmi C. Jain

    1. Faculty of Engineering and Information Technology, University of Technology Sydney, Broadway, Australia

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  • Discusses modern intelligent systems for addressing problems faced by healthcare and medical practitioners
  • Presents new research in innovative medicine and health care
  • Serves as an excellent reference resource for researchers

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 192)

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Table of contents (20 papers)

  1. Front Matter

    Pages i-xv
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  2. Biomedical Engineering, Trends, Research, and Technologies

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Vision Paper for Enabling Internet of Medical Robotics Things in Open Healthcare Platform 2030

      • Yoshimasa Masuda, Donald S. Shepard, Osamu Nakamura, Tetsuya Toma
      Pages 3-14

    3. Stumbling Blocks of Utilizing Medical and Health Data: Success Factors Extracted from Australia–Japan Comparison

      • Yoshiaki Fukami, Yoshimasa Masuda
      Pages 15-25

    4. Digital Financial Incentives for Improved Population Health in the Americas

      • Donald S. Shepard, Yoshimasa Masuda
      Pages 27-37

  3. Advanced ICT for Medicine and Healthcare

    1. Front Matter

      Pages 39-39
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    2. Trial Run of a Patient Call System Using Mobile Devices

      • Kei Teramoto, Hiroshi Kondoh
      Pages 41-46

    3. Advance Watermarking Algorithm Using SURF with DWT and DCT for CT Images

      • Saqib Ali Nawaz, Jingbing Li, Uzair Aslam Bhatti, Muhammad Usman Shoukat, Anum Mehmood
      Pages 47-55

    4. Improving Depth Perception using Multiple Iso-Surfaces for Transparent Stereoscopic Visualization of Medical Volume Data

      • Daimon Aoi, Kyoko Hasegawa, Liang Li, Yuichi Sakano, Satoshi Tanaka
      Pages 57-66

    5. Design and Simulation of a Robotic Manipulator for Laparoscopic Uterine Surgeries

      • H. A. G. C. Premachandra, K. M. Thathsarana, H. M. A. N. Herath, D. L. F. M. Liyanage, Y. W. R. Amarasinghe, D. G. K. Madusanka et al.
      Pages 67-79

    6. Self-Skill Training System for Chest Compressions in Neonatal Resuscitation Workshop

      • Noboru Nishimoto, Reiji Watanabe, Haruo Noma, Kohei Matsumura, Sho Ooi, Kogoro Iwanaga et al.
      Pages 81-89

  4. Statistical Signal Processing and Artificial Intelligence

    1. Front Matter

      Pages 91-91
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    2. Comparative Study of Pattern Recognition Methods for Predicting Glaucoma Diagnosis

      • Louis Williams, Salman Waqar, Tom Sherman, Giovanni Masala
      Pages 93-103

    3. Research on Encrypted Face Recognition Algorithm Based on New Combined Chaotic Map and Neural Network

      • Jiabin Hu, Jingbing Li, Saqib Ali Nawaz, Qianguang Lin
      Pages 105-115

    4. A 3D Shrinking-and-Expanding Module with Channel Attention for Efficient Deep Learning-Based Super-Resolution

      • Yinhao Li, Yutaro Iwamoto, Yen-Wei Chen
      Pages 117-125

    5. Dynamic Facial Features in Positive-Emotional Speech for Identification of Depressive Tendencies

      • Jia-Qing Liu, Yue Huang, Xin-Yin Huang, Xiao-Tong Xia, Xi-Xi Niu, Lanfen Lin et al.
      Pages 127-134

    6. Hand-Crafted and Deep Learning-Based Radiomics Models for Recurrence Prediction of Non-Small Cells Lung Cancers

      • Panyanat Aonpong, Yutaro Iwamoto, Weibin Wang, Lanfen Lin, Yen-Wei Chen
      Pages 135-144

    7. Weakly and Semi-supervised Deep Level Set Network for Automated Skin Lesion Segmentation

      • Zhuofu Deng, Yi Xin, Xiaolin Qiu, Yeda Chen
      Pages 145-155

  5. Support System for Medicine and Healthcare

    1. Front Matter

      Pages 157-157
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    2. A Transcriptional Study of Oncogenes and Tumor Suppressors Altered by Copy Number Variations in Ovarian Cancer

      • Giorgia Giacomini, Gabriele Ciravegna, Marco Pellegrini, Romina D’Aurizio, Monica Bianchini
      Pages 159-169
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Keywords

About this book

This book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-19), held in Split, Croatia, on June 17–19, 2020. Covering a number of key areas, including digital IT architecture in healthcare; advanced ICT for medicine and healthcare; biomedical engineering, trends, research and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists and anyone wishing to gain an overview of the latest research in these fields. 

Editors and Affiliations

  • College of Information Science and Engineering, Ritsumeikan University, Kusuatsu, Japan

    Yen-Wei Chen

  • College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan

    Satoshi Tanaka

  • Bournemouth University, Poole, UK

    Robert J. Howlett

  • Faculty of Engineering and Information Technology, University of Technology Sydney, Broadway, Australia

    Lakhmi C. Jain

About the editors

Yen-Wei Chen received his Ph.D. degree from Osaka University, Japan, in 1990. He is currently a Professor at the College of Information Science and Engineering, Ritsumeikan University, Japan. He is also a Visiting Professor at the College of Computer Science and Technology, Zhejiang University, China. His research interests include medical image analysis and pattern recognition.

Satoshi Tanaka received his Ph.D. in Theoretical Physics at Waseda University, Japan, in 1987. After serving as an Assistant Professor, Senior Lecturer and Associate Professor at Waseda and Fukui Universities, he became a Professor at Ritsumeikan University in 2002. His current research focuses on computer visualization of complex 3D shapes such as 3D scanned cultural heritage objects, internal structures of the human body, and fluid simulations.

Robert Howlett is the Executive Chair of KES International, a non-profit organization that facilitates knowledge transfer and the dissemination of research findings in areas such as intelligent systems, sustainability and knowledge transfer. He is a Visiting Professor at Bournemouth University in the UK. His has technical expertise in the use of intelligent systems to solve industrial problems, and his current research focuses on the use of smart microgrids to reduce energy costs and lower carbon emissions in areas such as housing and protected horticulture.

Lakhmi C. Jain, Ph.D., M.E., B.E. (Hons), Fellow of Engineers Australia, works for the University of Technology Sydney, Australia, and Liverpool Hope University, UK. He also serves at KES International, providing the professional community with opportunities for knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research.

Bibliographic Information

  • Book Title: Innovation in Medicine and Healthcare

  • Book Subtitle: Proceedings of 8th KES-InMed 2020

  • Editors: Yen-Wei Chen, Satoshi Tanaka, Robert J. Howlett, Lakhmi C. Jain

  • Series Title: Smart Innovation, Systems and Technologies

  • DOI: https://doi.org/10.1007/978-981-15-5852-8

  • Publisher: Springer Singapore

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020

  • Hardcover ISBN: 978-981-15-5851-1Published: 11 June 2020

  • Softcover ISBN: 978-981-15-5854-2Published: 11 June 2021

  • eBook ISBN: 978-981-15-5852-8Published: 10 June 2020

  • Series ISSN: 2190-3018

  • Series E-ISSN: 2190-3026

  • Edition Number: 1

  • Number of Pages: XV, 222

  • Number of Illustrations: 25 b/w illustrations, 95 illustrations in colour

  • Topics: Computational Intelligence, Health Informatics, Artificial Intelligence

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