Autoencoder‑Vision Transformer Boosts Dental Age Estimation Accuracy
A framework merging an autoencoder with a Vision Transformer raised dental age‑estimation accuracy to 0.815 for second molars and 0.543 for third molars. getnews.me/autoencoder-vision-trans... #dentalage #visiontransformer
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