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Adaptive Brain Tumor Recognition Model using the Hybrid Tumor Recognition Approach

Affiliations

  • Department of Electronics and Communication Engineering, Chandigarh University, Mohali - 140413, Punjab, India
  • Department of Electronics and Communication Engineering, Chandigarh University, Mohali - 140413, Punjab,

Abstract


Objectives: The brain tumor recognition is an imperative part of the computing environment based robotic operation devices. The trend of the operation theatre robots is on the escalation due to the advancement in the technology, and necessitates the high precision of the tumor region for the automatic operations with the computerized interactions and without the intervention of the doctors. Methods Statistical Analysis: This paper presents the robust model that has been proposed for the brain tumor detection and classification using the SVM based tumor region recognition and classification algorithm. Findings: The proposed model has been defined with the set of the morphological operations for the reduction of the image, which is followed by the principle component analysis (PCA) based features for the tumor region classification with SVM. The proposed model has undergone the in-depth analysis under the results and discussion section, where the proposed model has been undergone the number of experiments. The proposed model has been tested on the basis of various performance parameters and has shown efficient results in the terms of performance parameters than the existing models. Application/ Improvements: The proposed model can be clearly considered better than the existing model on the basis of the obtained results from the simulation.

Keywords

Brain Tumor Localization, Hybrid Tumor Extraction Algorithm, Morphological Operations, PCA Features, SVM Classification

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