Radiomics to Differentiate Malignant and Benign Breast Lesions: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis.

Oh, Ke En; Vasandani, Nikhil; Anwar, Afiq

Oh, Ke En; Vasandani, Nikhil; Anwar, Afiq.

Afiliación

Oh KE; Department of Surgery, University Hospital Galway, Galway, IRL.
Vasandani N; Surgery, Royal College of Surgeons in Ireland, Dublin, IRL.
Anwar A; Department of Surgery, University Hospital Galway, Galway, IRL.

Cureus ; 15(11): e49015, 2023 Nov.

Article en En | MEDLINE | ID: mdl-38024014

Palabras clave

ai & robotics in healthcare; artificial intelligence; artificial intelligence in radiology; benign and malignant breast lesions; breast radiology; deep learning; machine learning; mammogram; radiomics; ultrasound

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Systematic_reviews Idioma: En Revista: Cureus Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google