Clearview value metric mri9/6/2023 ![]() The SRDML approach uses a sparse representation framework to learn robust feature representation of brain MRI, and uses metric learning to project new features into the metric space with matching discrimination. In this paper, combining the advantages of sparse representation and metric learning, a sparse representation-based discriminative metric learning (SRDML) approach is proposed for medical image retrieval of brain MRI. Retrieving similar medical images from a huge database is of great significance to doctors’ auxiliary diagnosis and treatment. At the same time, medical imaging data is increasing at an explosive rate. MRI technology has become a common and important disease detection technology. Magnetic resonance imaging (MRI) can have a good diagnostic function for important organs and parts of the body. ![]() 3College of Information Engineering, Yangzhou University, Yangzhou, China.2School of Computer Science and Artificial Intelligence, Changzhou University, Changzhou, China. ![]()
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