Magnetic Resonance Imaging Images Based Brain Tumor Extraction, Segmentation and Detection Using Convolutional Neural Network and VGC 16 Model.

Journal: American journal of clinical oncology
Published Date: Apr 16, 2024

Abstract

OBJECTIVES: In this paper, we look at how to design and build a system to find tumors using 2 Convolutional Neural Network (CNN) models. With the help of digital image processing and deep Learning, we can make a system that automatically diagnoses and finds different diseases and abnormalities. The tumor detection system may include image enhancement, segmentation, data enhancement, feature extraction, and classification. These options are set up so that the CNN model can give the best results.

Authors

  • Ganesh Shunmugavel
    Department of Computer Science and Engineering.
  • Kannadhasan Suriyan
    Department of Electronics and Communication Engineering, Study World College of Engineering.
  • Jayachandran Arumugam
    Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, TN, India.

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