Dental X-Ray Analysis

Volume: 8    Issue: 1

Year of Publication: 2021

Pages: (19-23)

Authors: Mummaneni Namratha, Patchigolla Susmitha, Vadlapatla Haripriya

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Abstract

With advancements in medical field, technology is being applied for ingenious applications that let doctors to use them as tools in beneficial way. Examining dental radiographs by dentists usually fritter away time and also error prone due to its complex structure. The idea is to analyze dental radiographs in easier way by applying neural networks and transfer learning techniques. These intelligence techniques assist for precise results. The novelty is to apply neural networks on those x-rays to analyze them with aid of transfer learning models. For this, radiograph is taken as input for building model using weights and models in transfer learning. Various architectural models from transfer learning are applied for training x-ray data that yields accurate results. Among applied models, MobileNet architecture with some neural network layers gave error-free results. This x-ray analysis will segregate radiographs having caries and gives output as probability value. This application allows dentists for quick and easier outcome of dental x-rays that rescues time.

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Keywords

Neural Networks, Transfer Learning, MobileNet Architecture, X-rays.