SegAN for Recognition of Caries From 2D-Panoramic X-Ray Images

SegAN for Recognition of Caries From 2D-Panoramic X-Ray Images

Accurate recognition and segmentation of dental caries in 2D panoramic X-ray images are crucial for timely diagnosis and strategic treatment planning. The current study uses a Generative Adversarial Network (GAN) model named SegAN to segment the X-ray samples to recognize the caries. The SegAN model...

Full description

Saved in:
Bibliographic Details
Main Authors: Parvathaneni Naga Srinivasu, Gorli L. Aruna Kumari, D. Jaya Kumari, Paolo Barsocchi, Akash Kumar Bhoi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Image segmentation
X-ray images
dental imaging
data augmentation
deep learning
generative adversarial network
Online Access:https://ieeexplore.ieee.org/document/11025998/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/11025998/

Similar Items