Medical Image Enhancement and Quantitative Evaluation

Dear Colleagues,

Medical image quality enhancement plays a crucial role in achieving accurate diagnosis. Along with conventional image processing algorithms, artificial intelligence (AI) technologies based on deep learning and machine learning have recently been widely adopted for improving the quality of medical images. In addition, the quantitative evaluation of image quality enhancement is of great importance, and researchers have employed various parameters and metrics for this purpose. In particular, the quality of medical images is closely related to radiation dose and therefore they should be considered together.

This Special Issue aims to present new insights into image processing technologies for major diagnostic medical imaging modalities, including general X-ray, computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound imaging. Furthermore, this Special Issue aims to address not only advanced image enhancement techniques but also their connection to quantitative evaluation methods for assessing image quality improvement.

Prof. Dr. Youngjin Lee
Guest Editor

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