Analysis of deep learning techniques for dental informatics: a systematic literature review

S AbuSalim, N Zakaria, MR Islam, G Kumar, N Mokhtar… - Healthcare, 2022 - mdpi.com
Within the ever-growing healthcare industry, dental informatics is a burgeoning field of study.
One of the major obstacles to the health care system's transformation is obtaining …

Machine learning techniques for periodontitis and dental caries detection: A Narrative Review

RC Radha, BS Raghavendra, BV Subhash… - International journal of …, 2023 - Elsevier
Objectives In recent years, periodontitis, and dental caries have become common in humans
and need to be diagnosed in the early stage to prevent severe complications and tooth loss …

Deep learning-based multiclass instance segmentation for dental lesion detection

A Fatima, I Shafi, H Afzal, K Mahmood, IT Díez, V Lipari… - Healthcare, 2023 - mdpi.com
Automated dental imaging interpretation is one of the most prolific areas of research using
artificial intelligence. X-ray imaging systems have enabled dental clinicians to identify dental …

[HTML][HTML] A novel technique for dental radiographic image segmentation based on neutrosophic logic

S Datta, N Chaki, B Modak - Decision Analytics Journal, 2023 - Elsevier
Oral diseases are very prevalent worldwide and affect people of all ages. Dentists depend
on x-rays to study the characteristics of oral diseases. The segmentation and analysis of …

CariesFG: A fine-grained RGB image classification framework with attention mechanism for dental caries

H Jiang, P Zhang, C Che, B Jin, Y Zhu - Engineering Applications of …, 2023 - Elsevier
Dental caries is one of the most prevalent oral diseases, and deep learning methods have
been used for caries diagnosis in large populations by leveraging RGB images. The existing …

Hematologic cancer diagnosis and classification using machine and deep learning: State-of-the-art techniques and emerging research directives

H Patel, H Shah, G Patel, A Patel - Artificial Intelligence in Medicine, 2024 - Elsevier
Hematology is the study of diagnosis and treatment options for blood diseases, including
cancer. Cancer is considered one of the deadliest diseases across all age categories …

A systematic review on caries detection, classification, and segmentation from x-ray images: methods, datasets, evaluation, and open opportunities

LGK Zanini, IRF Rubira-Bullen, FLS Nunes - Journal of Imaging …, 2024 - Springer
Dental caries occurs from the interaction between oral bacteria and sugars, generating acids
that damage teeth over time. The importance of X-ray images for detecting oral problems is …

[HTML][HTML] Revolutionizing dental caries diagnosis through artificial intelligence

S Anil, K Sudeep, S Saratchandran, VK Sweety - 2023 - intechopen.com
The diagnosis and management of dental caries, a prevalent global oral health issue, have
traditionally depended on clinical examination and the interpretation of radiographic images …

Enhancing teeth segmentation using multifusion deep neural net in panoramic X-ray images

S Arora, R Gupta, R Srivastava - Journal of X-Ray Science …, 2023 - content.iospress.com
BACKGROUND: Precise teeth segmentation from dental panoramic X-ray images is an
important task in dental practice. However, several issues including poor image contrast …

An intellectual caries segmentation and classification using modified optimization-assisted transformer denseUnet++ and ViT-based multiscale residual denseNet with …

J Priya, SKS Raja, S Sudha - Signal, Image and Video Processing, 2024 - Springer
Dental caries is also referred as tooth decay, which is a common teeth disorder for humans.
Based on the statistics, most of the adults faced this dental caries issue. It could result in …