Deep and Machine Learning for Image Processing: Medical and Non-medical Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 45846
Special Issue Editors
Interests: computer vision; artificial intelligence; machine and deep learning; big data; medical imaging; computer-aided diagnostics
Special Issues, Collections and Topics in MDPI journals
Interests: Artificial intelligence (AI); machine learning; deep learning; robotics;metaheuristics; computer-assisted diagnosis systems; computer vision; bioinspired optimization algorithms; smart systems engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The new era and recent advances in machine and deep learning approaches have been widely used as indispensable tools in modern artificial intelligence-based image processing systems to perform medical or non-medical tasks. Such systems have proven themselves to be reproducible and have the generalization ability to solve unseen problems and adapt to new conditions. Examples of non-medical image processing applications that utilize machine and deep learning approaches could be image classification, image localization, handwriting recognition, object detection, object tracking, etc. Furthermore, for medical applications, diagnostic and prediction systems for different diseases, image segmentation, and image registration are some areas of potential interest for many researchers in the field of medical image processing using different machine and/or deep learning approaches. This special issue will focus on the state-of-the-art machine and deep learning techniques in image processing for medical and non-medical applications.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Image processing;
- Image localization;
- Object detection;
- Object tracking;
- Medical imaging;
- Image segmentation using deep learning;
- Applying deep learning for image registration;
- AI-based diagnostic systems;
- AI-based predictive systems;
- AI-based healthcare.
We look forward to receiving your contributions.
Dr. Mohamed Shehata
Prof. Dr. Mostafa Elhosseini
Guest Editors
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Keywords
- deep learning
- machine learning
- image processing
- pattern recognition
- biomedical imaging
- diagnostic systems
- prediction systems
- healthcare systems
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