Paper Title

Skeletal Bone Age Assessment Based on improved Feature with GWO and MSVM Classification Algorithm

Authors

Tanimu lawal , Mr. Rehan Khan , Mr. Yogesh Banyal

Keywords

Keywords-BAA (Bone Age Assessment), GWO (Grey wolf optimization), Hand wrist X-Ray Images, MSVM classification model.

Abstract

Abstract-Bone age assessment is also called the skeletal age, which indicates the child's development. It detects metabolic and endocrine disarrangement in the product. The bone age assessment provides better age information from the bones than from the birth date in chronicle age estimation. Usually, the hand and wrist x-ray images are generally taken for the BAA system. It has been noticed that the X-ray method is more convenient and reliable than other manual methods. Therefore, the proposed work presents a fully automated DL approach for BAA. In this paper, the hand-wrist x-ray images of different categories like 0,1,2,3, etc., are taken as a dataset online. Each image is left-sided people and tagged along with the information of age and gender. Firstly, it will upload the X-ay images and convert them into 2d and 3d formats. The noise distortion has also been removed from the images via filtration, and edge detection has occurred. This stage is followed by feature extraction, which is the most significant step in the process.

How To Cite

"Skeletal Bone Age Assessment Based on improved Feature with GWO and MSVM Classification Algorithm", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 6, page no.227 - 232, June-2022, Available :https://ijsdr.org/papers/IJSDR2206037.pdf

Issue

Volume 7 Issue 6, June-2022

Pages : 227 - 232

Other Publication Details

Paper Reg. ID: IJSDR_200659

Published Paper Id: IJSDR2206037

Downloads: 000347073

Research Area: Science & Technology

Country: Shimla , HImachal , India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2206037

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2206037

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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