Brain Image Segmentation via GLCM Features and CNN Classification for Improved Image Retrieval Using Machine Learning-Reference-Cited by-同舟云学术

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Brain Image Segmentation via GLCM Features and CNN Classification for Improved Image Retrieval Using Machine Learning

Published:2023-12-08 Issue: Volume:2 Page:1-6
ISSN:
Container-title:2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG)
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Author:

Sekar R¹,R Harikrishnan P²,Acharjya Kalyan³

Affiliation:

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

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

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455093/10455752/10456270.pdf?arnumber=10456270

Reference25 articles.

1. Morphological edge detection and brain tumor segmentation in Magnetic Resonance (MR) images based on region growing and performance evaluation of modified Fuzzy C-Means (FCM) algorithm

2. Automatic segmentation of brain tumour from multiple images of brain MRI;Bandhyopadhyay;International Journal of Application or Innovation in Engineering & Management (IJAIEM),2013

3. Tumor segmentation in brain MRI using a fuzzy approach with class center priors

4. Fuzzy K-C-means clustering algorithm for medical image segmentation;Funmilola;J Informat Eng Appl,2012

5. Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations

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