Comparison between observer-based and AI-based reading of CBCT datasets: An interrater-reliability study
Objective: To assess the performance of human observers and convolutional neural networks (CNNs) in detecting periodontal lesions in cone beam computed tomography (CBCT), a total of 38 datasets were examined. Three human readers and a CNN-based solution were employed to evaluate the presence of peri...
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| Main Authors: | , , , |
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| Format: | Book |
| Published: |
Elsevier,
2024-02-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |