One-Stage Methods of Computer Vision Object Detection to Classify Carious Lesions from Smartphone Imaging

One-Stage Methods of Computer Vision Object Detection to Classify Carious Lesions from Smartphone Imaging

The current study aimed to implement and validate an automation system to detect carious lesions from smartphone images using different one-stage deep learning techniques. 233 images of carious lesions were captured using a smartphone camera system at 1432 × 1375 pixels, then classified and screened...

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Bibliographic Details
Main Authors: S. M. Siamus Salahin, M. D. Shefat Ullaa, Saif Ahmed, Nabeel Mohammed, Taseef Hasan Farook, James Dudley
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Oral
Subjects:
caries
smartphone
clinical photography
YOLO
object detection
Online Access:https://www.mdpi.com/2673-6373/3/2/16

Internet

https://www.mdpi.com/2673-6373/3/2/16

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