Maximizing Insights from MRI Brain Images Segmentation through HSV Histogram and Gabor Wavelet Transform, and Machine Learning-Assisted Image Retrieval-Reference-Cited by-同舟云学术

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Maximizing Insights from MRI Brain Images Segmentation through HSV Histogram and Gabor Wavelet Transform, and Machine Learning-Assisted Image Retrieval

Published:2023-12-08 Issue: Volume:3 Page:1-5
ISSN:
Container-title:2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG)
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Author:

Yadav Dhyan Chandra¹,Sharma Nipun²,Kudari Jayashree M³

Affiliation:

1. Maharishi University of Information Technology,Maharishi School of Engineering & Technology,Uttar Pradesh,India

2. Presidency University,Department of Electronics and Communication Engineering,Bangalore,Karnataka,India

3. Jain (Deemed to be University),Department of Computer Science and Information Technology,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455093/10455752/10456239.pdf?arnumber=10456239

Reference26 articles.

1. A survey of methods for brain tumor segmentation-based MRI images

2. MRI Brain Images Classification: A Multi-Level Threshold Based Region Optimization Technique

3. An automatic classification of brain tumors through MRI using support vector machine;Alfonse;Computer Science Journal,2016

4. Identifying the best machine learning algorithms for brain tumor segmentation, progression, assessment, & overall survival prediction in the BRATS challenge;Bakas;arXiv Prepr.,2019

5. Feature and Intensity Based Medical Image Registration Using Particle Swarm Optimization

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