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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Principais autores:	Huan-Zhong Su, Zhi-Yong Li, Long-Cheng Hong, Yu-Hui Wu, Feng Zhang, Zuo-Bing Zhang, Xiao-Dong Zhang
Format:	Artigo
Jezik:	Inglês
Izdano:	SpringerOpen 2025-05-01
Serija:	Insights into Imaging
Teme:	Adenoid cystic carcinoma Ultrasound Machine learning Rat tail sign Polar vessel
Online dostop:	https://doi.org/10.1186/s13244-025-01974-y
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