Machine learning model for diagnosing salivary gland adenoid cystic carcinoma based on clinical and ultrasound features
Abstract Objective To develop and validate machine learning (ML) models for diagnosing salivary gland adenoid cystic carcinoma (ACC) in the salivary glands based on clinical and ultrasound features. Methods A total of 365 patients with ACC or non-ACC of the salivary glands treated at two centers wer...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-05-01
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| Series: | Insights into Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13244-025-01974-y |
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