Call for Papers - SI on AMIPC

Special Issue on Advancements in Medical Image Processing and Classification: Harnessing the Power of Industry 4.0, IoMT, Blockchain, Machine Learning, and Deep Learning

Aims and Scope

The integration of cutting-edge technologies, such as Industry 4.0, Internet of Medical Things (IoMT), blockchain, machine learning, and deep learning, holds tremendous potential for revolutionizing medical image processing and classification. This special issue proposal aims to explore the latest advancements, challenges, and opportunities in this interdisciplinary field, focusing on the convergence of these technologies to enhance healthcare outcomes.

This special issue seeks to investigate the application of Industry 4.0, IoMT, blockchain, machine learning, and deep learning techniques in medical image processing and classification. The primary objectives include:

  • Exploring novel algorithms and methodologies for medical image analysis, segmentation, and feature extraction.
  • Investigating the use of machine learning and deep learning models for accurate and efficient medical image classification, diagnosis, and prognosis.
  • Assessing the potential of Industry 4.0 technologies, including IoT, cloud computing, and big data analytics, in improving medical imaging workflows and decision-making processes.
  • Examining the role of blockchain in securing medical image data, ensuring data integrity, privacy, and interoperability.
  • Identifying challenges and solutions related to data quality, scalability, interpretability, and ethical considerations in medical image processing.

Lead Guest Editor

Dr. Sushovan Chaudhury
University of Engineering and Management (Kolkata), India
Research Interests:
Biomedical Image Classification, NLP, Computational Mathematics, Computer Vision, Recommendation System

Guest Editors

Assoc. Prof. Samuel-Soma M. Ajibade
Istanbul Commerce University, Türkiye
Research Interests:
Machine Learning, Artificial Intelligence, Data Mining, E-learning, Social Network Analysis

Prof. Kartik Sau
University of Engineering and Management (Kolkata), India
Research Interests:
Image processing, Artificial Intelligence, Soft Computing, Mathematics

Dr. Franklin Ore Areche
National University of Huancavelica, Peru
Research Interests:
Food Science and Technology, Biotechnology

Dr. Oluwadare Joshua Oyebode
Afe Babalola University (Ado-Ekiti), Nigeria
Research Interests:
Water Resources, Environmental Engineering, Energy Technology Management, Hydraulics and Hydrological Studies, Construction Management, Solid Waste Management, Pollution Abatement of Surface Water, Simulation and Optimization of Wastewater Treatment Facilitiesting 


Special Issue Information

This special issue aims to bridge the gap between medical image processing, machine learning, deep learning, Industry 4.0, IoMT, and blockchain technologies, to advance healthcare practices and improve patient outcomes. By exploring the integration of these technologies, we can unlock new possibilities for accurate diagnosis, personalized treatment, and efficient healthcare delivery. We welcome high-quality submissions that contribute to the advancement of this rapidly evolving field.

Topics of Interest We invite original research articles, case studies, and reviews covering, but not limited to, the following topics:

  • Deep learning architectures for medical image analysis and interpretation.
  • Machine learning algorithms for medical image classification and pattern recognition.
  • Integration of IoMT devices and sensors for real-time medical imaging and data collection.
  • Blockchain-based solutions for secure and decentralized storage, sharing, and access to medical image data.
  • Industry 4.0 technologies for enhanced medical imaging workflows, including data acquisition, preprocessing, and analysis.
  • Clinical decision support systems based on advanced image processing and machine learning techniques.
  • Challenges and opportunities in deploying machine learning and deep learning models in clinical practice.

Manuscript Submission Information

Submission deadline: 31 December 2023

Submissions that pass pre-check will be reviewed by at least two reviewers of the specific field. Accepted papers will be published on early access first and sent for copy editing and typesetting. Then all papers will be included in the special issue when it is published.

If you have any queries regarding the special issue or other matters, please feel free to contact the editorial office: /