Deep learning applications to breast cancer detection by magnetic resonance imaging: a literature review.

Adam, Richard; Dell'Aquila, Kevin; Hodges, Laura; Maldjian, Takouhie; Duong, Tim Q

Adam, Richard; Dell'Aquila, Kevin; Hodges, Laura; Maldjian, Takouhie; Duong, Tim Q.

Afiliación

Adam R; Department of Radiology, Albert Einstein College of Medicine and the Montefiore Medical Center, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.
Dell'Aquila K; Department of Radiology, Albert Einstein College of Medicine and the Montefiore Medical Center, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.
Hodges L; Department of Radiology, Albert Einstein College of Medicine and the Montefiore Medical Center, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.
Maldjian T; Department of Radiology, Albert Einstein College of Medicine and the Montefiore Medical Center, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.
Duong TQ; Department of Radiology, Albert Einstein College of Medicine and the Montefiore Medical Center, 1300 Morris Park Avenue, Bronx, NY, 10461, USA. tim.duong@einsteinmed.edu.

Breast Cancer Res ; 25(1): 87, 2023 07 24.

Article en En | MEDLINE | ID: mdl-37488621

Asunto(s)

Neoplasias de la Mama; Humanos; Femenino; Imagen por Resonancia Magnética; Algoritmos; Espectroscopía de Resonancia Magnética

Palabras clave

Artificial intelligence; Convolutional neural network; Dynamic contrast enhancement; MRI; Machine learning; Texture feature analysis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Diagnostic_studies / Guideline Límite: Female / Humans Idioma: En Revista: Breast Cancer Res Asunto de la revista: NEOPLASIAS Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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