Currently, in medical imaging, a wide number of different image modalities are used. ![]() Medical imaging offers a noninvasive technique to look at the practical and structural information of internal organs. As far as we know, no previous work examined this issue. Finally, based on comparative analysis, the possible research strategies for further development are proposed. We also studied and compared each approach used for other imaging modalities based on the certain parameter used for the system evaluation. This paper discusses various medical imaging modalities and presents a short review of soft computing approaches such as fuzzy logic, artificial neural network, genetic algorithm, machine learning, and deep learning. Until now, various soft computing approaches have been proposed for medical applications. It handles uncertainties and improves the qualities of an image. ![]() Soft computing plays a major role in the recent advances in medical imaging. Medical imaging is an essential technique for the diagnosis and treatment of diseases in modern clinics.
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