Machine Learning Algorithms and Models for Image Processing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 6277
Special Issue Editor
Special Issue Information
Dear Colleagues,
Deep learning and machine learning have achieved colossal recognition over the past decade through their ability to acquire improved visualizations of the limitations of architecture in the images of organ structures. The motivation behind the evolving algorithms of machine and deep learning in the healthcare (medical) domain is to amend the analyzing power in clinical identification (diagnosis) and to simplify the shortcomings experienced by surgeons to control the body organs by providing a multi-dimensional exhibition of the organ’s internal mechanism. This Special Issue will accept original research papers, reviews, and reports on various research progresses in machine learning and pattern recognition and the challenges experienced in numerous machine learning algorithms and pattern recognition mechanisms. The identification clarity gained by healthcare workers through the visualization of medical data will drastically amend the treatment of patients. It drives researchers to analyze and visualize high-technological medical data, and will help in the encouragement of the execution of machine learning and deep learning algorithms in the medical field.
Submissions are welcome on optimizing techniques and algorithms based on conventional approaches with new machine learning techniques and mechanisms (e.g., deep learning, support vector machines, statistical methods, manifold-space-based methods, artificial neural networks, convolutional neural networks, recurrent neural networks). Potential topics include but are not limited to:
- Machine and deep learning in healthcare/medicine;
- Computer vision techniques in pattern recognition;
- Computer-aided diagnosis;
- Analyzing fMRI data using deep learning;
- Deep learning in medical science;
- Medical image reconstruction;
- Medical image retrieval.
Dr. Satya P. Singh
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning
- deep learning
- medical imaging
- pattern recognition
