Optimized classification of dental implants using convolutional neural networks and pre-trained models with preprocessed data
Abstract Objective This study evaluates the performance of various classifiers and pre-trained models for dental implant state classification using preprocessed radiography images with masks. Methodology A dataset of 511 periapical images, including 275 for Bicon, 70 for Bego, and 166 for ITI implan...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-04-01
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| Series: | BMC Oral Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12903-025-05704-0 |
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