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Wireless Mobile Communication and Healthcare

12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. António Cunha

    1. University of Trás-os-Montes and Alto Douro, Vila Real, Portugal

  2. Anselmo Paiva

    1. Federal University of Maranhão, São Luís, Brazil

  3. Sandra Pereira

    1. University of Trás-os-Montes and Alto Douro, Vila Real, Portugal

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Conference proceedings info: MobiHealth 2023.

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About this book

This book constitutes the refereed post-conference proceedings of the 12th International Conference on Mobile Communication and Healthcare, MobiHealth 2023, held in November 29-30, 2023 in Vila Real, Portugal.

The 35 full papers of MobiHealth 2023 were carefully selected from 111 submissions and present science and technology aspects in the field of wireless communication, mobile computing and healthcare applications.
The conference papers are organized in topical sections on: Medical, communications and networking; Digital imaging and communications in medicine (DICOM). Biomedical, and health informatics; Multimedia e-Health data exchange services. Signal/Data processing and computing for health systems.

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Table of contents (35 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Medical, Communications and Networkin

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Geometric Perception of the Brain: A Classical Approach Using Image Segmentation

      • J. Leite, P. A. Salgado, T.-P. Azevedo Perdicoúlis, P. Lopes dos Santos
      Pages 3-16

    3. Determination of Effective Connectivity of Brain Activity in the Resting Brain

      • Catarina Pião Azevedo, Paulo A. Salgado, T.-P. Azevedo Perdicoúlis, Paulo Lopes dos Santos
      Pages 17-32

    4. Evanescent Wave Filtering for Ultrasound RF-Data Compression

      • Edgar M. G. Dorausch, Moritz Herzog, Cornelius Kühnöl, Daniel Swist, Tönnis Trittler, Julian Kober et al.
      Pages 33-44

    5. SpinalTracking: An Application to Help Track Spinal Deformities

      • Estephane Mendes Nascimento, João Dallyson S. de Almeida, Geraldo Braz Júnior, Aristófanes Correa Silva
      Pages 45-58

    6. Optimising Wheelchair Path Planning

      • B. Ribeiro, Paulo A. Salgado, T.-P. Azevedo Perdicoúlis, Paulo Lopes dos Santos
      Pages 59-72

    7. eDEM-CONNECT: An Ontology-Based Chatbot for Family Caregivers of People with Dementia

      • Maurice Boiting, Niklas Tschorn, Sumaiya Suravee, Kristina Yordanova, Margareta Halek, Franziska A. Jagoda et al.
      Pages 73-91

  3. Digital Imaging and Communications in Medicine (DICOM). Biomedical, and Health Informatics

    1. Front Matter

      Pages 93-93
      Download chapter PDF

    2. A Cascade Approach for Automatic Segmentation of Coronary Arteries Calcification in Computed Tomography Images Using Deep Learning

      • Alan de C. Araújo, Aristófanes C. Silva, João M. Pedrosa, Italo F. S. Silva, João O. B. Diniz
      Pages 95-109

    3. Evaluation of Transfer Learning with a U-Net Architectures for Kidney Segmentation

      • Caio Eduardo Falcão Matos, João Guilherme Araújo do Vale, Marcos Melo Ferreira, Geraldo Braz Júnior, João Dallyson Sousa de Almeida
      Pages 110-121

    4. Training U-Net with Proportional Image Division for Retinal Structure Segmentation

      • Pedro Victor de Abreu Fonseca, Alexandre Carvalho Araújo, João Dallyson S. de Almeida, Geraldo Braz Júnior, Aristófanes Correa Silva, Rodrigo de Melo Souza Veras
      Pages 122-138

    5. Eff-Unet for Trachea Segmentation on CT Scans

      • Arthur Guilherme Santos Fernandes, Geraldo Braz Junior, João Otávio Bandeira Diniz, Marcos Melo Ferreira, José Ribamar Durand Rodrigues Junior, Mackele Lourrane Jurema Da Silva et al.
      Pages 139-150

    6. A Vision Transformer Approach to Fundus Image Classification

      • Danilo Leite, José Camara, João Rodrigues, António Cunha
      Pages 151-162

    7. Glaucoma Grading Using Fundus Images

      • Mackele Lourrane Jurema da Silva, Marcos Melo Ferreira, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Arthur Guilherme Santos Fernandes
      Pages 163-172

    8. Abnormality Detection in Wireless Capsule Endoscopy Images Using Deep Features

      • Daniel G. P. de Sá, Giulia de A. Freulonx, Marcio P. Ferreira, Alexandre C. P. Pessoa, Darlan B. P. Quintanilha, Aristófanes C. Silva
      Pages 173-184

    9. Polyp Segmentation in Colonoscopy Images

      • Marcio P. Ferreira, Giulia de A. Freulon, Daniel G. Piorsky, Alexandre C. P. Pessoa, Darlan B. P. Quintanilha, Aristófanes C. Silva
      Pages 185-194

    10. Automating the Annotation of Medical Images in Capsule Endoscopy Through Convolutional Neural Networks and CBIR

      • Rodrigo Fernandes, Marta Salgado, Ishak Paçal, António Cunha
      Pages 195-207

    11. Similarity-Based Explanations for Deep Interpretation of Capsule Endoscopy Images

      • Miguel Fontes, Danilo Leite, João Dallyson, António Cunha
      Pages 208-222

    12. Deep Learning Applications in Histopathological Images

      • Luis Felipe Rocha Pereira, Anselmo Cardoso de Paiva, Alexandre de Carvalho Araújo, Geraldo Braz Junior, Joao Dallyson Sousa de Almeida, Aristófanes Corrêa Silva
      Pages 223-238
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Other volumes

  1. Wireless Mobile Communication and Healthcare

Editors and Affiliations

  • University of Trás-os-Montes and Alto Douro, Vila Real, Portugal

    António Cunha, Sandra Pereira

  • Federal University of Maranhão, São Luís, Brazil

    Anselmo Paiva

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