Performance of 1-mm non-gated low-dose chest computed tomography using deep learning-based noise reduction for coronary artery calcium scoring.

Choi, Hyewon; Park, Eun-Ah; Ahn, Chulkyun; Kim, Jong-Hyo; Lee, Whal; Jeong, Baren

Choi, Hyewon; Park, Eun-Ah; Ahn, Chulkyun; Kim, Jong-Hyo; Lee, Whal; Jeong, Baren.

Afiliación

Choi H; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Park EA; Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 102 Heukseok-ro, Dongjak-gu, Seoul, 06973, Republic of Korea.
Ahn C; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. iameuna1@gmail.com.
Kim JH; Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. iameuna1@gmail.com.
Lee W; Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea.
Jeong B; ClariPi Research, Seoul, 03088, Republic of Korea.

Eur Radiol ; 33(6): 3839-3847, 2023 Jun.

Article en En | MEDLINE | ID: mdl-36520181

Asunto(s)

Enfermedad de la Arteria Coronaria; Aprendizaje Profundo; Humanos; Enfermedad de la Arteria Coronaria/diagnóstico por imagen; Calcio; Estudios Retrospectivos; Tomografía Computarizada por Rayos X/métodos; Algoritmos; Dosis de Radiación; Interpretación de Imagen Radiográfica Asistida por Computador/métodos

Palabras clave

Coronary artery disease; Deep learning; Image processing, Computer-assisted; Tomography, X-ray computed

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Aprendizaje Profundo Límite: Humans Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article

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