AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies.

Abbasian Ardakani, Ali; Mohammadi, Afshin; Vogl, Thomas J; Kuzan, Taha Yusuf; Acharya, U Rajendra

Abbasian Ardakani, Ali; Mohammadi, Afshin; Vogl, Thomas J; Kuzan, Taha Yusuf; Acharya, U Rajendra.

Afiliação

Abbasian Ardakani A; Department of Radiology Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammadi A; Department of Radiology, Faculty of Medicine, Urmia University of Medical Science, Urmia, Iran.
Vogl TJ; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
Kuzan TY; Department of Radiology, Sancaktepe Sehit Prof. Dr. Ilhan Varank Training and Research Hospital, Istanbul, Turkey.
Acharya UR; School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, Queensland, Australia.

J Clin Ultrasound ; 52(2): 131-143, 2024 Feb.

Article em En | MEDLINE | ID: mdl-37983736

Assuntos

Inteligência Artificial; Aprendizado Profundo; Humanos; Radiômica; Razão Sinal-Ruído; Ultrassonografia

Palavras-chave

breast cancer; deep learning; denoising; machine learning; speckle noise; ultrasonography

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Aprendizado Profundo Limite: Humans Idioma: En Revista: J Clin Ultrasound Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Irã

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google