Medical Image Analysis For Disease Diagnosis And Treatment
DOI:
https://doi.org/10.64252/zpfqp389Keywords:
Dental, Treatment, Recurrent Neural Network, CNNAbstract
In dentistry, dental radiographs are used to detect and diagnose anomalies in the teeth. Panoramic radiographs are one type of dental radiograph that can capture the whole structure of the teeth on a single film. This kind of radiograph aids in the early detection of oral dental anomalies. Cavities, caries, tooth decay, impacted teeth, periodontal bone loss, carious lesions, oral cysts, and osteoporosis are just a few of the numerous dental conditions or anomalies. An oral cyst is a common dental condition that, if left untreated, can have serious consequences. A new paradigm in artificial intelligence is being opened by deep learning, a recent development in medical imaging technology.The deep learning algorithm known as Convolutional Neural Networks (CNN) is primarily utilized in computer vision applications like object detection, image captioning, handwritten digit recognition, face recognition, image segmentation, pedestrian detection, action recognition, and image classification. This study presents a few computer methods for dental image analysis that use deep learning algorithms to identify and diagnose various dental conditions.