A review on Deep Learning approaches for low-dose Computed Tomography restoration.

Kulathilake, K A Saneera Hemantha; Abdullah, Nor Aniza; Sabri, Aznul Qalid Md; Lai, Khin Wee

Kulathilake, K A Saneera Hemantha; Abdullah, Nor Aniza; Sabri, Aznul Qalid Md; Lai, Khin Wee.

Afiliación

Kulathilake KASH; Department of Computer System and Technology, Faculty of Computer Science and Information Technology, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.
Abdullah NA; Department of Computer System and Technology, Faculty of Computer Science and Information Technology, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.
Sabri AQM; Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.
Lai KW; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.

Complex Intell Systems ; 9(3): 2713-2745, 2023.

Article en En | MEDLINE | ID: mdl-34777967

Palabras clave

Deep Learning; Denoising; Generative adversarial networks; Medical datasets; Optimization; Structure preservation

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Complex Intell Systems Año: 2023 Tipo del documento: Article País de afiliación: Malasia

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