Quality control system for mammographic breast positioning using deep learning.

Watanabe, Haruyuki; Hayashi, Saeko; Kondo, Yohan; Matsuyama, Eri; Hayashi, Norio; Ogura, Toshihiro; Shimosegawa, Masayuki

Watanabe, Haruyuki; Hayashi, Saeko; Kondo, Yohan; Matsuyama, Eri; Hayashi, Norio; Ogura, Toshihiro; Shimosegawa, Masayuki.

Afiliación

Watanabe H; School of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan. hal-watanabe@gchs.ac.jp.
Hayashi S; Department of Radiology, National Hospital Organization Shibukawa Medical Center, Shibukawa, Japan.
Kondo Y; Graduate School of Health Sciences, Niigata University, Niigata, Japan.
Matsuyama E; Faculty of Informatics, The University of Fukuchiyama, Fukuchiyama, Japan.
Hayashi N; School of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan.
Ogura T; School of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan.
Shimosegawa M; School of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan.

Sci Rep ; 13(1): 7066, 2023 05 01.

Article en En | MEDLINE | ID: mdl-37127674

Asunto(s)

Aprendizaje Profundo; Mamografía/métodos; Redes Neurales de la Computación; Procesamiento de Imagen Asistido por Computador/métodos; Control de Calidad

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Japón

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google