Artificial Intelligence and Machine Learning-Based Medical Image Analysis

Dear Colleagues,

Long before the third AI boom, research using machine learning and AI had been conducted in medical image analysis. The appearance of deep learning, with its fantastic performance, resulted in a significant expansion of research using AI. Today, medical image analysis is one of the leading fields of AI application. Machine learning and deep learning are now being used not only for lesion detection, differential diagnosis, and region extraction but also for image alignment and reconstruction. The dramatic improvement in AI performance has led to the adoption of AI in clinical sites, especially the coexistence of radiologists and AI.

In this Special Issue, we call for a wide range of research on all types of medical image analysis using AI, machine learning, and deep learning. Possible research topics include, but are not limited to, the following:

• Image processing and visualization;
• Image segmentation;
• Image registration;
• Image reconstruction;
• Image quality improvement;
• Image generation;
• Computer-aided diagnosis (CADx);
• Computer-aided detection (CADe);
• Computer-assisted surgery.

Dr. Mitsutaka Nemoto
Dr. Katsuhiro Mikami
Guest Editors

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