An effective no-reference image quality index prediction with a hybrid Artificial Intelligence approach for denoised MRI images
Prianka Ramachandran Radhabai,
Kavitha KVN,
Ashok Shanmugam
et al.
Abstract:As the quantity and significance of digital pictures in the medical industry continue to increase, Image Quality Assessment (IQA) has recently become a prevalent subject in the research community. Due to the wide range of distortions that Magnetic Resonance Images (MRI) can experience and the wide variety of information they contain, No-Reference Image Quality Assessment (NR-IQA) has always been a challenging study issue. In an attempt to address this issue, a novel hybrid Artificial Intelligence (AI) is propo… Show more
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