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Proposed a Mechanism to Precise Diagnostics in X-ray Film Using Fuzzy Logic Controller

  • Javaid Ahmad Shah,
  • Deepak Sukheja,
  • Govinda Patil,
  • Tranjeet Sood,
  • Malaya Nayak

摘要

The proposed work is the extension of the article (Tripathi in Algorithms for intelligent systems, Springer, Singapore), which is published in proceedings of Machine Learning Technologies and Applications. Algorithms for Intelligent Systems. Springer 2020. In present work, Focus to Film distance (FFD) consider as one more parameter which directly affects the radiographic film as well as the patient health conditions. If FFD is increase, the intensity of radiation will be reduced. Furthermore, if FFD is decreased, then the radiation intensity shall be higher which in turn can impact the patient quality life thus resulting in unacceptable geometric sharpness. In this paper, FLC is utilized for precise diagnostics, in regard to the distinctive exposure levels, FFD and denseness of body tissue in X-ray films, which assist the radiologist with settling on better choices.