IEEE

Tooth Instance Segmentation and Disease Detection With Uncertainty-Aware Contrastive Learning and Cross-Scale Attention

Abstract: Recent years have witnessed the increasing applications of artificial intelligence for tooth treatment, among which tooth instance segmentation and disease detection are two important ...
GitHub

Vision model for object detection and segmentation using TENNs State Space Model neural network.

State Space Models (SSMs) are emerging as a practical alternative to transformers, offering similar or better performance with significantly fewer parameters and lower compute requirements. Mamba, the ...
GitHub

Just Enough Python for Data Science Course

Data scientists get things done in notebooks, but production-quality work needs more than ad-hoc scripts. Just Enough Python for Data Scientists gives you the essential Python and software engineering ...
IEEE

Angle Quest: Deep Learning Approach for Tooth Segmentation and Axial Inclination Measurement in Orthopantomogram Radiographs

Abstract: The axial inclination of the teeth plays a significant role in orthodontics, oral surgery, and prosthodontics, ensuring the equilibrium of occlusal forces in the stomatognathic system and ...
Frontiers

Accuracy of artificial intelligence applications in periodontics: a thematic narrative review

Department of Periodontology, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia Background: Artificial intelligence (AI) has been increasingly applied to periodontal diagnostics ...