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Extended Tree based Regression Neural Networks for Multifeature Split
Published in Takushi Tanaka, Setsuo Ohsuga, Moonis Ali, Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 2022
The experiment was performed using the bone age data set. The problem is to predict the child skeletal age from the X ray image of hand[BG93]. The radiologist requires many years of experience to interpret X ray image of hand and to give a proper treatment to a child of abnormal growth. The radiologist uses the physical measurements obtained from the X ray image, and the sex and race information in order to assess the bone age. The bone age data set consists of four input features obtained from the measurement of hand X ray image and one output feature-the predicted bone age decided by the radiologist. There are 532 examples. We use the first 400 examples as the training set and the last 132 examples as the testing set.
Automatic Detection of Dental Age Assessment Using an Efficient Elman Neural Network with Dragonfly Optimization
Published in S. S. Nandhini, M. Karthiga, S. B. Goyal, Computational Intelligence in Robotics and Automation, 2023
Scientific age assessment is a part of legal science continually advancing because of the rising quantities of asylum seekers lacking substantial individuality papers. This issue is especially important on account of youths and youthful grown-ups engaged with common and criminal methodology or looking for refuge. In these cases, it is vital to utilize age-assessment strategies which permit the operators to decide as precisely as conceivable the legitimately applicable ages which change as indicated by the public. There are three measures used for assessing the age:Actual assessment is done through recognition of anthropometric estimations (mass, stature, constitution), indications of erotic development examination, ID of improvement infections;Bone age assessment for the subject is not shown up effectively since at the age of 17 the bones get fused and also through the clavicle bone, assessment of age is not evaluated due to the hardening part of epiphysis bone. Based on the above-given fact, these are not explicitly suggested.Dental assessment can be done by dentist based on the tooth development and testing the condition of dentition using X-ray.Numerous approaches of DA assessment were planned by many investigators for developing folks. In the above-mentioned approaches, radiographs were used as evidence to analyze the progressive sequence of teeth development, and each stage of development was coded and scored. These scores were manipulated meticulously to derive the DA of an individual and compared by their CA, with acceptable error limits. However, all these methods dated back a few decades and the change in the growth trend of the current generation alarmed for formulating a newer method of DA assessment. Figure 1.1 depicts TDS that are modeled by Demirjian.
TW3-based ROI detection and classification using a chaotic ANN and DNN-EVGO architecture for an automated bone age assessment on hand X-ray images
Published in The Imaging Science Journal, 2023
Thangam Palaniswamy, Mahendiran Vellingiri, M. Ramkumar Raja
Studies on the genome and endocrinology of patients mainly rely on bone age assessment (BAA). It is an effective tool to calculate the age of bones and diagnose other bone-related disorders [1,2]. Because a substantial majority of bone illnesses begin at an early age, BAA is primarily utilized to identify them [3,4]. The children’s growth affects not only the hereditary, hormonal, nutritious factor, and psychosocial compounds [5], but also several diseases such as genetic, hormonal, and nutritional factors [6,7]. Therefore, due to their ease of use, minimal radiation exposure, and proximity to two ossification centres, the radiologist can quickly identify the maturation of the skeletal/BA by applying assessment techniques [8,9]. If this disease is detected in the early stage, it may be easily cured [10–12]. Alternatively, these disorders have a negative impact on their development [13,14]. Often, in hormonal discretions, the disease is caused because there is a lack of nutrition, a genetic-related disease/problem [15–17]. Typically, bone age is determined via radiography X-ray imaging of the hand region, specifically the non-dominant hand [18–20]. One of the powerful imaging modalities is the X-ray which utilizes astronomy-related observations [21,22]. The age difference is determined using an X-ray picture [23,24]. The zone with bone development plates becomes smaller as a kid develops into an adult and eventually evaporates [25,26].
Medical devices and the pediatric population – a head-to-toe approach
Published in Expert Review of Medical Devices, 2019
Joy H. Samuels-Reid, Judith U. Cope
When using medical devices in children, it is important to consider the dynamic changes related to musculoskeletal growth and development. Bone age is more important than chronological age in determining future growth. During rapid growth spurts, changes in skeletal growth may affect the spine and its normal curvatures. For instance, most adolescents do not achieve complete skeletal maturity until 18 to 20 years of age. Differences are most evident in the growing spine, stages of epiphyseal closure and growth plate development. During childhood and adolescence, growth plates may open and close at different rates and vary between boys and girls. Ideally, device considerations in pediatric subpopulations will take into account differences in bone density and the strength of ligaments. All of these may impact medical devices used for orthopedic management and surgical interventions in the pediatric population. Orthopedic medical devices such as screws and plates need to be of varying sizes for the growing child. It is important that proper medical and surgical pediatric-specific instrumentation recognize the differences between children and adults[17].
Bone age assessment method based on fine-grained image classification using multiple regions of interest
Published in Systems Science & Control Engineering, 2022
Keji Mao, Wei Lu, Kunxiu Wu, Jiafa Mao, Guanglin Dai
Bone age can reflect the maturity of the individual's skeleton. Compared to chronological age, bone age can better reflect the growth status and growth potential of an individual, especially for children in critical growth spurts. The final height of an individual can be predicted by combing one’s current height and bone age. Therefore, bone age is widely used in the selection of athletes. In addition, bone age is often used as one of the diagnostic criteria for some endocrine diseases and genetic diseases as these diseases can lead to abnormal bone age. Given the high application value of bone age, bone age assessment has been widely studied.