DETECTING BRAIN TUMORS USING DIGITAL IMAGE PROCESSING

Authors

  • Shodhan
  • Abhishek
  • R Manimozhi

DOI:

#10.25215/8119070682.15

Keywords:

Text Classification, NLP, SVM, approaches, application, Naive Bayes, KNN, Algorithms, Applications

Abstract

Processing of MRI is one of the components of image processing in the medical profession. Finding the tumor is frequently the first stage. CNN, ANN, SVM classifiers, Edge Detection (Using Sobel operator), Filtering, Thresholding, shrinking operation on image, Watershed method, bilateral segmentation, Active contour method, discrete wavelet transformation, Clustering, Fuzzy C-Means, K-Means and The Naive Bayes classifier are some of the algorithms used to detect brain tumor.

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Published

2023-06-30

How to Cite

Shodhan, Abhishek, & R Manimozhi. (2023). DETECTING BRAIN TUMORS USING DIGITAL IMAGE PROCESSING. Redshine Archive, 1. https://doi.org/10.25215/8119070682.15