Brain tumor recognition using an integrated bat algorithm with a convolutional neural network approach-Reference-Cited by-同舟云学术

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Brain tumor recognition using an integrated bat algorithm with a convolutional neural network approach

Published:2022-12 Issue: Volume:24 Page:100426
ISSN:2665-9174
Container-title:Measurement: Sensors
language:en
Short-container-title:Measurement: Sensors

Author:

Chawla Riddhi,Beram Shehab Mohamed,Murthy C Ravindra,Thiruvenkadam T.,Bhavani N.P.G.,Saravanakumar R.,Sathishkumar P.J.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanics of Materials,Electronic, Optical and Magnetic Materials

Reference21 articles.

1. A review on a deep learning perspective in brain cancer classification;Tandel;Cancers,2019

2. IsoMAG—an automated system for the immunomagnetic isolation of squamous cell carcinoma-derived circulating tumor cells;Gribko;Diagnostics,2021

3. A survey of MRI-based brain tumor segmentation methods;Liu;Tsinghua Sci. Technol.,2014

4. Extreme learning bat algorithm in brain tumor classification;Sreekanth;Intell. Autom. Soft Comput.,2022

5. Virtual and real brain tumors: using mathematical modeling to quantify glioma growth and invasion;Swanson;J. Neurol. Sci.,2003

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1. A Comprehensive Brain MRI Image Segmentation System Based on Contourlet Transform and Deep Neural Networks;Algorithms;2024-03-21

2. A Novel Ensemble Framework for Multi-Classification of Brain Tumors Using Magnetic Resonance Imaging;Diagnostics;2024-02-09

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4. Comparative Study of Metaheuristic Optimization of Convolutional Neural Networks Applied to Face Mask Classification;Mathematical and Computational Applications;2023-11-01

5. A review on Brain Tumor Detection using Deep Neural Networks;2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT);2023-04-08

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