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Classification of Pediatric Dental Diseases from Panoramic Radiographs using Natural Language Transformer and Deep Learning Models

2025-02-03

Abstract excerpt

Accurate classification of pediatric dental diseases from panoramic radiographs is crucial for early diagnosis and treatment planning. This study explores a text-based approach using a natural language transformer to generate textual descriptions of radiographs, which are then classified using deep learning models. Three models were evaluated: a one-dimensional convolutional neural network (1D-CNN), a long short-t...

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Literature Corpus work
2fe72721-e468-58e0-8e4d-b32952ab2e7e
DOI
10.1101/2025.01.30.25321418
Open publication

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Classification of Pediatric Dental Diseases from Panoramic Radiographs using Natural Language Transformer and Deep Learning ModelsDOI 10.1101/2025.01.30.25321418
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