Integrating Super-Resolution with Deep Learning for Enhanced Periodontal Bone Loss Segmentation in Panoramic Radiographs

Integrating Super-Resolution with Deep Learning for Enhanced Periodontal Bone Loss Segmentation in Panoramic Radiographs

Periodontal disease is a widespread global health concern that necessitates an accurate diagnosis for effective treatment. Traditional diagnostic methods based on panoramic radiographs are often limited by subjective evaluation and low-resolution imaging, leading to suboptimal precision. This study...

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Bibliographic Details
Main Authors: Vungsovanreach Kong, Eun Young Lee, Kyung Ah Kim, Ho Sun Shon
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Bioengineering
Subjects:
periodontal bone loss
semantic segmentation
super resolution
deep learning
SRGAN
U-Net
Online Access:https://www.mdpi.com/2306-5354/11/11/1130
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