Application of Machine-learning based on Radiomics Features in Differential Diagnosis of Superficial Lymphadenopathy.

Lyu, Shuyi; Zhang, Meiwu; Yang, Lifen; Zhang, Baisong; Gao, Libo; Yang, Liu; Zhang, Yan

Lyu, Shuyi; Zhang, Meiwu; Yang, Lifen; Zhang, Baisong; Gao, Libo; Yang, Liu; Zhang, Yan.

Afiliação

Lyu S; Department of Interventional Therapy, Ningbo NO.2 Hospital, China.
Zhang M; Department of Ultrasound, Zhenhai Hospital of Traditional Chinese Medicine, Ningbo, China.
Yang L; Department of Interventional Therapy, Ningbo NO.2 Hospital, China.
Zhang B; Department of Ultrasound, Zhenhai Hospital of Traditional Chinese Medicine, Ningbo, China.
Gao L; Department of Interventional Therapy, Ningbo NO.2 Hospital, China.
Yang L; Department of Interventional Therapy, Ningbo NO.2 Hospital, China.
Zhang Y; Department of Interventional Therapy, Ningbo NO.2 Hospital, China.

Curr Med Imaging ; 2024 Jan 11.

Article em En | MEDLINE | ID: mdl-38258592

Palavras-chave

Benign lymph node; Lymphadenopathy; Lymphoma; Machine learning; Metastatic lymph node.; Radiomics; Ultrasound

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Curr Med Imaging Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

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