Ultra-low-dose hepatic multiphase CT using deep learning-based image reconstruction algorithm focused on arterial phase in chronic liver disease: A non-inferiority study.

Lee, Hyun Joo; Kim, Jin Sil; Lee, Jeong Kyong; Lee, Hye Ah; Pak, Seongyong

Lee, Hyun Joo; Kim, Jin Sil; Lee, Jeong Kyong; Lee, Hye Ah; Pak, Seongyong.

Afiliación

Lee HJ; Department of Radiology, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
Kim JS; Department of Radiology, College of Medicine, Ewha Womans University, Seoul, Republic of Korea. Electronic address: truthkim@ewha.ac.kr.
Lee JK; Department of Radiology, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
Lee HA; Clinical Trial Center, Mokdong Hospital, Ewha Womans University, Seoul, Republic of Korea.
Pak S; Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology,Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.

Eur J Radiol ; 159: 110659, 2023 Feb.

Article en En | MEDLINE | ID: mdl-36584563

Asunto(s)

Aprendizaje Profundo; Hepatopatías; Humanos; Tomografía Computarizada por Rayos X/métodos; Hepatopatías/diagnóstico por imagen; Procesamiento de Imagen Asistido por Computador/métodos; Algoritmos; Interpretación de Imagen Radiográfica Asistida por Computador/métodos; Dosis de Radiación

Palabras clave

Deep learning; Hepatocellular carcinoma; Image reconstruction; Multidetector computed tomography; Radiation

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Hepatopatías Tipo de estudio: Prognostic_studies Idioma: En Revista: Eur J Radiol Año: 2023 Tipo del documento: Article

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