Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm-Reference-Cited by-同舟云学术

Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm

Published:2022-12 Issue:2 Volume:33 Page:572-587
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Khan Muhammad Attique¹^ORCID,Khan Awais¹,Alhaisoni Majed²,Alqahtani Abdullah³,Alsubai Shtwai³,Alharbi Meshal⁴^ORCID,Malik Nazir Ahmed⁵,Damaševičius Robertas⁶^ORCID

Affiliation:

1. Department of Computer Science HITEC University Taxila Pakistan

2. Computer Sciences Department, College of Computer and Information Sciences Princess Nourah bint Abdulrahman University Riyadh Saudi Arabia

3. College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz University Al‐Kharj Saudi Arabia

4. Department of Computer Science, College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz University Al‐Kharj Saudi Arabia

5. Cyber Reconnaissance and Combat Lab Bahria University Islamabad Islamabad Pakistan

6. Faculty of Informatics Kaunas University of Technology Kaunas Lithuania

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.22831

Reference53 articles.

1. Human brain tumor detection using k‐means segmentation and improved support vector machine;Islam MK;Int J Sci Eng Res,2020

2. Brain tumor prediction and classification using support vector machine

3. Automated Detection of Nonmelanoma Skin Cancer Based on Deep Convolutional Neural Network

4. Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVM

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