Machine learning model for diagnosing salivary gland adenoid cystic carcinoma based on clinical and ultrasound features

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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Bibliographic Details
Main Authors: Huan-Zhong Su, Zhi-Yong Li, Long-Cheng Hong, Yu-Hui Wu, Feng Zhang, Zuo-Bing Zhang, Xiao-Dong Zhang
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:Insights into Imaging
Subjects:
Adenoid cystic carcinoma
Ultrasound
Machine learning
Rat tail sign
Polar vessel
Online Access:https://doi.org/10.1186/s13244-025-01974-y
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https://doi.org/10.1186/s13244-025-01974-y

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