Bone Age Measurement-Based on Dental Radiography, Employing a New Model

Sharifonnasbi, Fatemeh, Jhanjhi, N.Z., John, Jacob, and Nambiar, Prabhakaran Bone Age Measurement-Based on Dental Radiography, Employing a New Model. In: Lecture Notes in Networks and Systems (248) pp. 51-61. From: ICTIDS 2021: 2nd International Conference on Technology Innovation and Data Sciences, 10 & 20 February 2021, Petaling Jaya, Malaysia.

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Bone age measurement is a process for evaluating skeletal maturity levels to estimate one’s actual age. This evaluation is generally done by contrasting the radiographic image of one’s wrist or dentition with an existing uniform map, which contains a series of age-recognized images at any point of its development. Manual methods are based on the analysis of specific areas of hand bone images or dental structures. Both approaches are vulnerable to observer uncertainty and are time-consuming, so this approach is a subjective approximation of age. As a result, an automated model is needed to estimate one’s age accurately. This framework aims to develop a new Fatemeh Ghazal Sharifonnasabi (FGS) model for accurate measurement of bone age (± 1 year) or less than that with dental radiography. This study will use a new image processing technique, which involves creating a histogram of dental orthopantomogram (OPG) X-rays. In the machine, learning classification can be grouped as the training and testing phase. The training phase is used to extract all the images’ features for the classification model. The convolutional neural network (CNN) and K-nearest neighbour (KNN) classifications are ideal for this problem, based on the available literature.

Item ID: 77430
Item Type: Conference Item (Research - E1)
ISBN: 978-981-16-3153-5
Copyright Information: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 S.-L. Peng et al. (eds.), Intelligent Computing and Innovation on Data Science, Lecture Notes in Networks and Systems 248.
Date Deposited: 05 Feb 2024 23:18
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460306 Image processing @ 100%
SEO Codes: 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220499 Information systems, technologies and services not elsewhere classified @ 100%
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