UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 9
September-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2209343


Registration ID:
502670

Page Number

d374-d383

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Title

Automated Brain Tumour Classification using Hyperparameter Tuned Deep Learning Model

Authors

Abstract

Radiology is a wide-ranging subject that requires further understanding and knowledge of medical science to accurately find tumors. The necessity for a tumor detection program, therefore, overcome the lack of trained radiologists. By utilizing magnetic resonance imaging, biomedical image processing make it easy to locate and detect brain cancers. This article develops a new differential evolution with deep learning based brain tumor classification (DEDL-BTC) model on MRIs. The presented DEDL-BTC model aims to identify the occurrence of BT using medical images. The DEDL-BTC model initially eradicates the node and U-Net model is employed to segment the MRI. Besides, depth wise separable convolution (DSC) network with long short term memory (LSTM) model can be employed as a feature extractor and classifier respectively. Eventually, the hyperparameter tuning of the DSC take place using the DE technique. The results indicated the DEDL-BTC method has shown improved performance than the other models interms of distinct measures.

Key Words

Brain tumor, Segmentation; Deep learning; Medical imaging; Computer aided diagnosis

Cite This Article

"Automated Brain Tumour Classification using Hyperparameter Tuned Deep Learning Model ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.d374-d383, September-2022, Available :http://www.jetir.org/papers/JETIR2209343.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Automated Brain Tumour Classification using Hyperparameter Tuned Deep Learning Model ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppd374-d383, September-2022, Available at : http://www.jetir.org/papers/JETIR2209343.pdf

Publication Details

Published Paper ID: JETIR2209343
Registration ID: 502670
Published In: Volume 9 | Issue 9 | Year September-2022
DOI (Digital Object Identifier):
Page No: d374-d383
Country: NEHRU STREET, Puducherry, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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