Advanced Technologies in Medical Image Processing and Analysis
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (20 April 2023) | Viewed by 2017
Special Issue Editors
Interests: microscopic image and medical image analysis; artificial intelligence; pattern recognition; machine learning; machine vision; multimedia retrieval; intelligent microscopic imaging technology
Special Issues, Collections and Topics in MDPI journals
Interests: biomedical engineering; artificial intelligence; pattern recognition; machine vision; machine learning; medical sensor
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the booming growth of advanced technologies (ATs), especially the recent advancements in artificial intelligence, pattern recognition, and machine vision, utilizing AT-based methods for medical image analysis has become an active research area, both in the medical industry and academia.
This Special Issue (SI) will show the recent progress of AT research in medical image analysis and clinical applications. It will also discuss the existing problems in the field and provide possible solutions and future directions. More specifically, it will highlight state-of-the-art clinical applications that include four major human body systems: the nervous system, the cardiovascular system, the digestive system, and the skeletal system. Overall, according to the best available evidence, deep learning models perform well in medical image analysis; however, algorithms derived from small-scale medical datasets that impede clinical applicability cannot be ignored. Future directions could include federated learning, benchmark dataset collection, and utilizing domain subject knowledge as priors. In conclusion, recent advanced deep learning technologies have achieved great success in medical image analysis due to their high accuracy, efficiency, stability, and scalability. Technological advancements that can alleviate the high demands on high-quality, large-scale datasets could be a future development in this area.
Dr. Chen Li
Prof. Dr. Marcin Grzegorzek
Guest Editors
Manuscript Submission Information
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Keywords
- advanced technologies
- artificial intelligence
- pattern recognition
- machine vision
- medical image processing
- medical image analysis
