Brain tumor segmentation and classification via adaptive CLFAHE with hybrid classification-Reference-Cited by-同舟云学术

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Brain tumor segmentation and classification via adaptive CLFAHE with hybrid classification

Published:2020-03-26 Issue:4 Volume:30 Page:874-898
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Leena Bojaraj¹^ORCID,Jayanthi Annamalai²

Affiliation:

1. Department of ECE, Sri Guru Institute of Technology Coimbatore India

2. Department of ECE Sri Ramakrishna Institute of Technology Coimbatore 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.22420

Reference38 articles.

1. Multiscale Modeling for Image Analysis of Brain Tumor Studies

2. Comparison between dynamic susceptibility contrast magnetic resonance imaging and arterial spin labeling techniques in distinguishing malignant from benign brain tumors

3. An association between benzodiazepine use and occurrence of benign brain tumors

4. Biodegradable brain-penetrating DNA nanocomplexes and their use to treat malignant brain tumors

5. Movement disorders caused by benign brain tumor

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Brain tumor Classification using Optimized and Relief-based Feature Reduction and Regression Neural Network;Biomedical Signal Processing and Control;2023-09

2. 3D MRI Segmentation using U-Net Architecture for the detection of Brain Tumor;Procedia Computer Science;2023

3. Automatic Brain Tumor Classification via Lion Plus Dragonfly Algorithm;Journal of Digital Imaging;2022-06-16

4. A survey of brain segmentation methods from magnetic resonance imaging;Brain Tumor MRI Image Segmentation Using Deep Learning Techniques;2022

5. A Multi-Objective Randomly Updated Beetle Swarm and Multi-Verse Optimization for Brain Tumor Segmentation and Classification;The Computer Journal;2021-10-29

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