Development of segmentation algorithms for brain tumor detection and classification using mr images and performance analysis

Author: 
Yogita M. Suryawanshi., Bhopale S. D and Mali A S

This work introduces an optimized deep learning mechanism; named Dolphin-SCA based Deep CNN, to improve the accuracy and to make effective decisions in classification. Initially, the input MR images are given to the pre-processing and then, subjected to the segmentation process. The segmentation process is carried out using a fuzzy GVF deformable hybrid model with Dolphin Echolocation based Sine Cosine algorithm (Dolphin-SCA). Then, the feature extraction process is performed based on power LBP and statistical features, like mean, variance, and skewness.

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DOI: 
http://dx.doi.org/10.24327/ijcar.2022.492.0180
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Volume11
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