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Deep Learning–Based Segmentation of Dental Caries in Pediatric Panoramic Radiographs: A Comparative Study of Seven CNN Architectures

2026-06-23

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> Dental caries is the most prevalent chronic disease of childhood, yet automated segmentation of carious lesions in pediatric panoramic radiographs remains underexplored. This study aimed to identify a well-suited CNN architecture for pixel-level segmentation of dental caries in pediatric panoramic radiographs through systematic benchmarking under reproducible...

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Literature Corpus work
69244e2c-74bd-5eed-9955-ecf5430eaacf
DOI
10.21203/rs.3.rs-9878062/v1
Open publication

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Deep Learning–Based Segmentation of Dental Caries in Pediatric Panoramic Radiographs: A Comparative Study of Seven CNN ArchitecturesDOI 10.21203/rs.3.rs-9878062/v1
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