Implimentation of adaptive neuro fuzzy inference system for cancer detection using TMS320C6711 DSP

  • Authors:
  • D. D. Nawgaje;R. D. Kanphade

  • Affiliations:
  • EXTC, SSGMCE Shegaon, Shegaon, India;Dhole Patil College Of Engineering, Wagholi, Pune, India

  • Venue:
  • Proceedings of the International Conference & Workshop on Emerging Trends in Technology
  • Year:
  • 2011

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Abstract

Accuracy and interpretability are two important objectives in the design of Adaptive Neuro Fuzzy Inference model (ANFIS). In many real word applications, expert experiences usually have good interpretability, but their accuracy is not always the best. Applying expert experiences to ANFIS model can improve accuracy and interpretability. In this study we propose an accessible tool that helps medical interpretation of suspect zones in MRI. This paper describes a methodology to locate precisely different kind of lesions in cancer patients. The use ANFIS improves the diagnostic efficiency in tumor progression. Some of the images show feasibility of the propose methodology. The same is then implemented on DSP TMS320C6711 which provides real time implementation.