Abstract
Craniofacial anomaly including deformational plagiocephaly as a result of deformities in head and facial bones evolution is a serious health problem in newbies. The impact of such condition on the affected infants is profound from both medical and social viewpoint. Indeed, timely diagnosing through different medical examinations like anthropometric measurements of the skull or even Computer Tomography (CT) image modality followed by a periodical screening and monitoring plays a vital role in treatment phase. In this paper, a classification model for detecting and monitoring deformational plagiocephaly in affected infants is presented. The presented model is based on a deep learning network architecture. The given model achieves high accuracy of 99.01% with other classification parameters. The input to the model are the images captured by commonly used smartphone cameras which waives the requirement to sophisticated medical imaging modalities. The method is deployed into a mobile application which enables the parents/caregivers and non-clinical experts to monitor and report the treatment progress at home.
Highlights
Nowadays, analysis of craniofacial anomalies representing a diverse group of deformities in the evolution of head and facial bones in newbies has become a multidisciplinary expertise domain[1]
1 in 2000 of new births is affected by craniosynostosis and approximately 1 in 700 infants is born with cleft lip and/ or cleft palate[3,4]
Transfer learning through pretrained network is used to semantically segment the regions covered by the head and coin respectively
Summary
Analysis of craniofacial anomalies representing a diverse group of deformities in the evolution of head and facial bones in newbies has become a multidisciplinary expertise domain[1]. There are different factors like genetics, environment and, vitamin deficiency which might be involved in appearance and progress of the disease individually or in a combined form[2]. Craniofacial anomalies are categorized according to their ground reasons whether it is genetics or vitamin deficiency or environmental influence. There exist different types of craniofacial disorders in children; among them the most common types include cleft lip and palate, craniosynostosis and deformational plagiocephaly and brachycephaly. The prevalence of the disease in infected children varies depending on the craniofacial anomaly type. 1 in 2000 of new births is affected by craniosynostosis and approximately 1 in 700 infants is born with cleft lip and/ or cleft palate[3,4].
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