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ISSN 2063-5346
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MULTI-DOMAIN MEDICAL IMAGE ENHANCEMENT USING DEEP LEARING

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Abdul Waheed Untoo, Er. Shaveta Bala
» doi: 10.53555/ecb/2023.12.Si8.829

Abstract

Medical image processing has been a revolution in the modern medical science. In an ideal world we would be able to diagnose, treat and cure patients without causing any harmful side effects. The use of medical imaging has enabled doctors to see inside a patient without having to cut them open. Medical imaging also helps us learn more about neurobiology and human behaviours. Brain imaging is being used to understand why some people become long-term cocaine addicts and some do not. Medical imaging brings scientists from biology, chemistry and physics together and the technologies developed can often be used in many disciplines. In this paper, medical images are enhanced in frequency and time domain. Local transformation histogram technique is employed for contrast enhancement; afterwards images are enhanced overall using Fuzzy-Neural technique. The proposed technique is implemented on the working platform of MATLAB 2018b. Parameters like PSNR, Entropy, MSE are expected to be fairly better than original images

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