Abstract
In this modern era, diagnosis by imaging needs to adopt modern techniques in order to enhance its perfection and reliability in healthcare systems. One among the main factors that influence the diagnostic accuracy of the usual x-ray film to determine pathology is the level of exposure given to the film. If the level of exposure is not requisite, then a normally developed X-ray film will not be obtained. This produces a profound effect on patient management and his/her quality of life. It also increases the expenditure of a person on health. Hence, providing a perfect and good quality X-ray radiograph is the beginning toward excellent patient management in any healthcare system of the world. In this paper, a Fuzzy logic controller is used for accurate diagnostics, with regarding the different exposure levels and Denseness of body tissues in X-ray films, which help the radiologist to make better decisions.
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Tripathi, R.K., Shah, J.A. (2021). Fuzzy Logic Controller for Accurate Diagnostics in X-Ray Film. In: Mai, C.K., Reddy, A.B., Raju, K.S. (eds) Machine Learning Technologies and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-4046-6_9
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DOI: https://doi.org/10.1007/978-981-33-4046-6_9
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