Radiomics-based machine-learning method to diagnose prostate cancer using mp-MRI: a comparison between conventional and fused models.

Jamshidi, Ghazaleh; Abbasian Ardakani, Ali; Ghafoori, Mahyar; Babapour Mofrad, Farshid; Saligheh Rad, Hamidreza

Jamshidi, Ghazaleh; Abbasian Ardakani, Ali; Ghafoori, Mahyar; Babapour Mofrad, Farshid; Saligheh Rad, Hamidreza.

Afiliação

Jamshidi G; Department of Medical Radiation Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Abbasian Ardakani A; Department of Radiology Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ghafoori M; Department of Radiology, School of Medicine, Hazrat Rasoul Akram Hospital, Iran University of Medical Sciences, Tehran, Iran.
Babapour Mofrad F; Department of Medical Radiation Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Saligheh Rad H; Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran. hamid.saligheh@gmail.com.

MAGMA ; 36(1): 55-64, 2023 Feb.

Article em En | MEDLINE | ID: mdl-36114898

Assuntos

Imageamento por Ressonância Magnética Multiparamétrica; Neoplasias da Próstata; Masculino; Humanos; Reprodutibilidade dos Testes; Neoplasias da Próstata/diagnóstico por imagem; Neoplasias da Próstata/patologia; Imageamento por Ressonância Magnética/métodos; Aprendizado de Máquina

Palavras-chave

Dynamic contrast-enhanced MRI; Machine-learning; Mp-MRI; Prostate cancer; T2-weighted imaging

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Imageamento por Ressonância Magnética Multiparamétrica Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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