DETECTING BRAIN TUMORS USING DIGITAL IMAGE PROCESSING
DOI:
#10.25215/8119070682.15Keywords:
Text Classification, NLP, SVM, approaches, application, Naive Bayes, KNN, Algorithms, ApplicationsAbstract
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
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Copyright (c) 2023 Shodhan, Abhishek, R Manimozhi

This work is licensed under a Creative Commons Attribution 4.0 International License.