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Volume 10 Issue 11
November-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2311385


Registration ID:
528397

Page Number

d690-d702

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Title

Design of Sparrow Search Algorithm with Deep Transfer Learning-based Classification Model for Medical X-Ray Image Classification Mode

Abstract

Medical X-ray image classification is task where machine learning (ML) approaches are utilized to categorize X-ray images into various categories on the basis of some criteria. The core objective is to automate the task of evaluating X-ray images and enhance the efficiency and accuracy of diagnosis. Current advancements in deep learning (DL) have given rise to better performance in various medical image analysis processes. Chest radiographs the frequently performed radiological exam, are specifically significant modalities for which various applications were studied. The issue of publicly available, multiple, large, chest X-ray datasets in recent times has increased investigation. Therefore, this article presents a new barnacles mating optimizer with deep learning based medical image classification model (BMODL-MICM) for X-ray images. The presented BMODL-MICM technique uses Wiener filtering (WF) as a preprocessing step to eradicate the noise. Besides, ShuffleNetv2 feature extractor is involved to create a collection of feature vectors. Moreover, the BMODL-MICM technique uses BMO algorithm for hyperparameter tuning procedure. At last, Elman Neural Network (ENN) technique is applied for the classification of X-ray images. The experimental assessment of the BMODL-MICM approach on benchmark X-ray image dataset reported its effectual outcome over the other methods.

Key Words

Medical image classification; X-ray images; Barnacles mating optimizer; Deep learning; Chest radiographs

Cite This Article

"Design of Sparrow Search Algorithm with Deep Transfer Learning-based Classification Model for Medical X-Ray Image Classification Mode", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.d690-d702, November-2023, Available :http://www.jetir.org/papers/JETIR2311385.pdf

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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

"Design of Sparrow Search Algorithm with Deep Transfer Learning-based Classification Model for Medical X-Ray Image Classification Mode", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppd690-d702, November-2023, Available at : http://www.jetir.org/papers/JETIR2311385.pdf

Publication Details

Published Paper ID: JETIR2311385
Registration ID: 528397
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: d690-d702
Country: Chidambaram, Tamil Nadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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