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Home Case study
June 27, 2024

Dental Classification

Dental classification refers to the categorization of teeth based on their shape, size, and position in the mouth. This process is an essential part of dental treatment as it helps dentists identify potential problems and develop effective treatment plans. Dental classification is primarily based on the Universal numbering system, which assigns a unique number to each tooth in the mouth. This numbering system helps dentists and other dental professionals communicate effectively and efficiently about the location of specific teeth and dental issues. By understanding dental classification, patients can gain a deeper appreciation for the importance of good dental hygiene and the value of regular dental check-ups.

About Our Client 

As a highly respected player in the healthcare industry, the dental sector plays a crucial role in providing essential care to individuals. It is with great pleasure that we introduce our client, a reputable dental institution operating in Japan. Their unwavering commitment to delivering top-notch dental care has made them one of the leading providers in the region. With their state-of-the-art facility and experienced medical professionals, our client is well-positioned to meet the diverse needs of their patients. We are thrilled to have them as part of our network, and we look forward to a fruitful partnership. 

Business Need 

Dental classification is a remarkable technological advancement in the field of dentistry that has revolutionized the diagnosis and treatment of dental conditions. This cutting-edge engine provides a comprehensive analysis of dental X-rays and accurately numbers each tooth, making it easier for dentists and oral hygienists to identify dental pathologies and devise customized treatment plans. These images are derived from three different types of teeth: baby, adult, and senior, each with their own unique characteristics and needs. This sophisticated process of dental classification has proven to be an invaluable tool in the dental industry, allowing professionals to provide the best possible care for their patients. 

Accordingly, we are tasked to develop such engine to optimize our client’s dental classification procedures. The goal is to develop an efficient and accurate system that will provide comprehensive data for their staff, helping them provide superior service to their patients. Furthermore, this engine should be able to seamlessly integrate into the existing process of dental classification, allowing for a smooth transition from manual methods. 

Our Approach

TensorFlow and OpenCV are two of the most important tools used extensively in the field of machine learning and computer vision. TensorFlow is an open-source software library developed and maintained by Google Brain Team, which provides a wide range of functionalities to build and train machine learning models, including neural networks for deep learning. On the other hand, OpenCV (Open-Source Computer Vision Library) is another open-source library that is widely used to process visual data and perform several tasks such as image and video analysis, object detection and recognition, and face detection.  

Together, TensorFlow and OpenCV form a powerful combination, providing researchers and developers with the necessary tools to build complex ML models and sophisticated computer vision-based applications. As AI technology continues to advance, the use of these tools is likely to increase exponentially, leading to more accurate and efficient results. 

The Solution

Specifically, with the aid of TensorFlow’s Object Detection API and OpenCV, we embarked on a project to detect and number teeth accurately: TensorFlow’s Object Detection API for identifying teeth, OpenCV for numbering every tooth. Besides, the use of a Convolutional Neural Network during the training process also enabled the computer to learn the unique characteristics of each tooth. 

As a result, our detection and labeling accuracy reached an impressive 94% for adult teeth and 84% for baby teeth. The engine was also able to accurately detect and classify teeth in X-rays with a variety of backgrounds and distortions. 

Additionally, the engine is designed to be easily implemented into our client’s existing dental classification process, allowing for a seamless transition from manual methods. Our user-friendly interface allows staff members to quickly access data and customize treatment plans according to their patient’s needs. 

The application of these technologies in dental healthcare has become increasingly valuable in recent years, and we are proud to contribute to this field’s advancements. 

Final Thoughts

We are proud to have developed a sophisticated engine that accurately detects and labels teeth in X-rays with an impressive accuracy rate. With the help of TensorFlow’s Object Detection API, OpenCV, and Convolutional Neural Networks, we created a system which seamlessly integrates into our client’s existing dental classification process. Not only does this engine provide comprehensive data for staff members to use when creating treatment plans, but it also allows them to customize those plans according to their patient’s needs. We believe these advancements will continue to revolutionize the way dentists diagnose and treat conditions; furthering the quality of care they can offer their patients. 

If you have any problems or issues related to healthcare sector that requires technology involvement, or even digital transformation in general, we would be glad to help you. Contact us for more information as we provide FREE consultations! 

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