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Computer Analysis of Images and Patterns

CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Mario Vento

    1. Department of Computer and Electrical Engineering and Applied Mathematics, University of Salerno, Salerno, Italy

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  2. Gennaro Percannella

    1. Department of Computer and Electrical Engineering and Applied Mathematics, University of Salerno, Salerno, Italy

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  3. Sara Colantonio

    1. ISTI-CNR, Pisa, Italy

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  4. Daniela Giorgi

    1. ISTI-CNR, Pisa, Italy

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  5. Bogdan J. Matuszewski

    1. University of Central Lancashire, Preston, UK

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  6. Hamideh Kerdegari

    1. Kingston University, London, UK

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  7. Manzoor Razaak

    1. Kingston University, London, UK

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1089)

Included in the following conference series:

Conference proceedings info: CAIP 2019.

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Table of contents (12 papers)

  1. Front Matter

    Pages i-xiv
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  2. Workshop on Visual Computing and Machine Learning for Biomedical Applications (ViMaBi)

    1. Front Matter

      Pages 1-4
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    2. Retinal Blood Vessels Segmentation: Improving State-of-the-Art Deep Methods

      • Valentine Wargnier-Dauchelle, Camille Simon-Chane, Aymeric Histace
      Pages 5-16

    3. A New Hybrid Method for Gland Segmentation in Histology Images

      • Liyang Wang, Yu Zhou, Bogdan J. Matuszewski
      Pages 17-27

    4. Residual Convolutional Neural Networks to Automatically Extract Significant Breast Density Features

      • Francesca Lizzi, Francesco Laruina, Piernicola Oliva, Alessandra Retico, Maria Evelina Fantacci
      Pages 28-35

    5. Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms

      • Benedetta Savelli, Claudio Marrocco, Alessandro Bria, Mario Molinara, Francesco Tortorella
      Pages 36-44

    6. Classification of Autism Spectrum Disorder Through the Graph Fourier Transform of fMRI Temporal Signals Projected on Structural Connectome

      • Abdelbasset Brahim, Mehdi Hajjam El Hassani, Nicolas Farrugia
      Pages 45-55

    7. Radiomic and Dosiomic Profiling of Paediatric Medulloblastoma Tumours Treated with Intensity Modulated Radiation Therapy

      • Cinzia Talamonti, Stefano Piffer, Daniela Greto, Monica Mangoni, Antonio Ciccarone, Paolo Dicarolo et al.
      Pages 56-64

    8. May Radiomic Data Predict Prostate Cancer Aggressiveness?

      • Danila Germanese, Sara Colantonio, Claudia Caudai, Maria Antonietta Pascali, Andrea Barucci, Nicola Zoppetti et al.
      Pages 65-75

  3. Workshop on Deep-Learning Based Computer Vision for UAV (DL-UAV)

    1. Front Matter

      Pages 77-80
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    2. Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles

      • Andreas Kamilaris, Corjan van den Brink, Savvas Karatsiolis
      Pages 81-90

    3. Computer Vision and Deep Learning-Enabled UAVs: Proposed Use Cases for Visually Impaired People in a Smart City

      • Moustafa M. Nasralla, Ikram U. Rehman, Drishty Sobnath, Sara Paiva
      Pages 91-99

    4. UAV Image Based Crop and Weed Distribution Estimation on Embedded GPU Boards

      • Mulham Fawakherji, Ciro Potena, Domenico D. Bloisi, Marco Imperoli, Alberto Pretto, Daniele Nardi
      Pages 100-108

    5. An Integrated Precision Farming Application Based on 5G, UAV and Deep Learning Technologies

      • Manzoor Razaak, Hamideh Kerdegari, Eleanor Davies, Raouf Abozariba, Matthew Broadbent, Katy Mason et al.
      Pages 109-119

    6. Visual Communication with UAV: Use Cases and Achievements

      • Alexander Schelle, Peter Stütz
      Pages 120-128

  4. Back Matter

    Pages 129-129
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Other volumes

  1. Computer Analysis of Images and Patterns

  2. Computer Analysis of Images and Patterns

  3. Computer Analysis of Images and Patterns

Keywords

About this book

This book constitutes the refereed proceedings of two workshops held at the 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019: First Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019, and the First Workshop on Visual Computing and Machine Learning for Biomedical Applications, ViMaBi 2019.

The 12 papers presented in this volume were carefully reviewed and selected from 16 submissions and focus on all aspects of visual computing and machine learning for biomedical applications, and deep-learning based computer vision for UAV.

Editors and Affiliations

  • Department of Computer and Electrical Engineering and Applied Mathematics, University of Salerno, Salerno, Italy

    Mario Vento, Gennaro Percannella

  • ISTI-CNR, Pisa, Italy

    Sara Colantonio, Daniela Giorgi

  • University of Central Lancashire, Preston, UK

    Bogdan J. Matuszewski

  • Kingston University, London, UK

    Hamideh Kerdegari, Manzoor Razaak

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