Artificial Intelligence Techniques for Medical Image Processing

In recent years, artificial intelligence (AI) technology has made remarkable progress in medical image processing and applications and has provided many opportunities for improving the quality of related biomedical research. However, there are still many foreseeable challenges such as system performance, clinical application, data labeling and quality analysis, etc. The goal of this Special Issue is to invite interested parties to publish original manuscripts presenting the latest research results of artificial intelligence-related technologies applied to medical imaging. By analyzing medical images and signals through artificial intelligence, it will become feasible to use machine learning or deep learning algorithms to predict clinical diagnosis or prognosis accurately. We welcome submissions of various applications of biomedical images, signals, and data combined with state-of-the-art machine or deep learning, as well as proposing innovative approaches to address existing imaging/data challenges in biomedicine and health.

Topics of interest include but are not limited to:

• Machine learning or deep learning algorithms for medical image processing applications;
• Disease classification and prognosis prediction based on medical images, signals, and data processing;
• Segmentation and anomaly detection based on medical images;
• Medical image denoising and quality improvement;
• Medical image, signals, and data processing for therapy monitoring;
• Big data or multimodal data processing for predicting clinical outcomes;
• Medical image quality assessment;• Disease severity assessment based on medical images, signals and data processing.

Dr. Jack Yang
Prof. Dr. Tsair-Fwu Lee
Dr. Chih-Hsueh Lin
Guest Editors

Manuscript Submission Information

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