AI in Dentistry: CNNs for Segmenting and Classifying Dental Images

OVERFIT: AI, Machine Learning, and Deep Learning Made Simple

This systematic literature review investigates the use of convolutional neural networks (CNNs) for segmenting and classifying dental images. The review analyzes 45 studies that employed CNNs for various tasks, including tooth detection, periapical lesion detection, caries identification, and age and sex determination. The authors explore the different deep learning frameworks and algorithms used in these studies, along with the evaluation metrics employed to assess model performance. They highlight the limitations of existing research, such as the scarcity of publicly available datasets and the need for more robust models capable of handling variations in image quality. The review concludes by identifying areas for future research, emphasizing the need for larger and more diverse datasets, improved image quality, and increased interpretability of deep learning models.

Read more: https://arxiv.org/pdf/2401.09190