Machine Learning Algorithms and Models for Image Processing

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.