Predictive value of radiomics-based machine learning for the disease-free survival in breast cancer: a systematic review and meta-analysis.

Lu, Dongmei; Yan, Yuke; Jiang, Min; Sun, Shaoqin; Jiang, Haifeng; Lu, Yashan; Zhang, Wenwen; Zhou, Xing

Lu, Dongmei; Yan, Yuke; Jiang, Min; Sun, Shaoqin; Jiang, Haifeng; Lu, Yashan; Zhang, Wenwen; Zhou, Xing.

Afiliação

Lu D; Department of Radiology, Gansu Provincial Hospital, Lanzhou, China.
Yan Y; The Second Department of General Surgery, Gansu Provincial Hospital, Lanzhou, China.
Jiang M; Department of Radiology, Gansu Provincial Hospital, Lanzhou, China.
Sun S; Department of Radiology, Gansu Provincial Hospital, Lanzhou, China.
Jiang H; Department of Radiology, Gansu Provincial Hospital, Lanzhou, China.
Lu Y; Department of Radiology, Gansu Provincial Hospital, Lanzhou, China.
Zhang W; Department of Radiology, Gansu Provincial Hospital, Lanzhou, China.
Zhou X; Department of Radiology, Gansu Provincial Hospital, Lanzhou, China.

Front Oncol ; 13: 1173090, 2023.

Article em En | MEDLINE | ID: mdl-37664048

Palavras-chave

breast cancer; disease-free survival; meta-analysis; prognosis; radiomics

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Aspecto: Patient_preference Idioma: En Revista: Front Oncol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google