Deep Learning Architecture to Infer Kennedy Classification of Partially Edentulous Arches Using Object Detection Techniques and Piecewise Annotations
Objectives: Dental health is integral to overall well-being, with early detection of issues critical for prevention. This research work focuses on utilizing artificial intelligence and deep learning–based object detection techniques for automated detection of common dental issues in orthopantomograp...
Saved in:
| Main Authors: | Zohaib Khurshid, MRes, FDTFEd, FHEA, Maria Waqas, PhD, Shehzad Hasan, PhD, Shakeel Kazmi, PhD, Muhammad Faheemuddin, FCPS |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
|
| Series: | International Dental Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0020653924015910 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Determination of Optimal Dataset Characteristics for Improving YOLO Performance in Agricultural Object Detection
by: Jisu Song, et al.
Published: (2025-03-01) -
Improving Tiny Object Detection in Aerial Images with Yolov5
by: Ahmed Sharba, et al.
Published: (2025-01-01) -
Intelligent Recognition and Parameter Estimation of Radar Active Jamming Based on Oriented Object Detection
by: Jiawei Lu, et al.
Published: (2025-07-01) -
Lightweight object detection model for food freezer warehouses
by: Jiayu Yang, et al.
Published: (2025-01-01) -
Insulator Defect Detection Algorithm Based on Improved YOLOv11n
by: Junmei Zhao, et al.
Published: (2025-02-01)