A Smartphone-based System for Real-time Early Childhood Caries Diagnosis

08/17/2020
by   Yipeng Zhang, et al.
9

Early childhood caries (ECC) is the most common, yet preventable chronic disease in children under the age of 6. Treatments on severe ECC are extremely expensive and unaffordable for socioeconomically disadvantaged families. The identification of ECC in an early stage usually requires expertise in the field, and hence is often ignored by parents. Therefore, early prevention strategies and easy-to-adopt diagnosis techniques are desired. In this study, we propose a multistage deep learning-based system for cavity detection. We create a dataset containing RGB oral images labeled manually by dental practitioners. We then investigate the effectiveness of different deep learning models on the dataset. Furthermore, we integrate the deep learning system into an easy-to-use mobile application that can diagnose ECC from an early stage and provide real-time results to untrained users.

READ FULL TEXT
03/03/2020

Deep Learning Approach to Diabetic Retinopathy Detection

Diabetic retinopathy is one of the most threatening complications of dia...
04/01/2019

Early Diagnosis of Pneumonia with Deep Learning

Pneumonia has been one of the fatal diseases and has the potential to re...
04/07/2020

Mobile-Based Deep Learning Models for Banana Diseases Detection

Smallholder farmers in Tanzania are challenged on the lack of tools for ...
06/01/2022

Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images

Identifying the type of kidney stones can allow urologists to determine ...
03/06/2022

A Survey of Attention Deficit Hyperactivity Disorder Identification Using Psychophysiological Data

Attention Deficit Hyperactivity Disorder (ADHD) is one of the most commo...
02/17/2021

Towards Memristive Deep Learning Systems for Real-time Mobile Epileptic Seizure Prediction

The unpredictability of seizures continues to distress many people with ...
04/23/2021

Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification

From crying to babbling and then to speech, infant's vocal tract goes th...