Brain MR image tumor detection and classification using neuro fuzzy with binary cuckoo search technique-Reference-Cited by-同舟云学术

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Brain MR image tumor detection and classification using neuro fuzzy with binary cuckoo search technique

Published:2021-02-02 Issue:3 Volume:31 Page:1185-1196
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Arumugam Selvapandian¹^ORCID,Paulraj Sivakumar²^ORCID,Selvaraj Nagendra Prabhu³

Affiliation:

1. Department of Electronics and Communication Engineering, PSNA College of Engineering and Technology Dindigul Tamil Nadu India

2. Department of Information Technology, PSG College of Technology Coimbatore Tamil Nadu India

3. Department of Computer Science Engineering, Malla Reddy College of Engineering and Technology Hyderabad Telangana India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22550

Reference19 articles.

1. Detection of brain tumor in 3D MRI images using local binary patterns and histogram orientation gradient

2. Fully Automatic Lesion Localization and Characterization: Application to Brain Tumors Using Multiparametric Quantitative MRI Data

3. MRI segmentation fusion for brain tumor detection

4. Segmentation of Tumor and Edema Along With Healthy Tissues of Brain Using Wavelets and Neural Networks

5. Predicting the Gene Status and Survival Outcome of Lower Grade Glioma Patients With Multimodal MRI Features

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1. Hybrid similarity measure-based image indexing and Gradient Ladybug Beetle optimization for retrieval of brain tumor using MRI;The Journal of Supercomputing;2024-07-21

2. Landscape of epilepsy research: Analysis and future trajectory;Interdisciplinary Neurosurgery;2024-06

3. Comprehensive Review on MRI-Based Brain Tumor Segmentation: A Comparative Study from 2017 Onwards;Archives of Computational Methods in Engineering;2024-05-20

4. Brain Anomaly Prediction with the Intervention of Fuzzy Based Clustering and Optimization Techniques for Augmenting Clinical Diagnosis;2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2021-12-17

5. Brain MR image tumor detection and classification using neuro fuzzy with binary cuckoo search technique;International Journal of Imaging Systems and Technology;2021-02-02

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