Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labeling.

Caughlin, Kayla; Shahedi, Maysam; Shoag, Jonathan E; Barbieri, Christopher; Margolis, Daniel; Fei, Baowei

Caughlin, Kayla; Shahedi, Maysam; Shoag, Jonathan E; Barbieri, Christopher; Margolis, Daniel; Fei, Baowei.

Afiliação

Caughlin K; Department of Bioengineering, The University of Texas at Dallas, Richardson, TX.
Shahedi M; Department of Bioengineering, The University of Texas at Dallas, Richardson, TX.
Shoag JE; Department of Urology, Weill Cornell Medicine, New York, NY.
Barbieri C; Department of Urology, University Hospitals Medical Center, Case Western Reserve University, Cleveland, Ohio.
Margolis D; Department of Urology, Weill Cornell Medicine, New York, NY.
Fei B; Department of Radiology, Weill Cornell Medicine, New York, NY.

Proc SPIE Int Soc Opt Eng ; 115982021 Feb.

Article em En | MEDLINE | ID: mdl-35755405

Palavras-chave

Image segmentation; computed tomography (CT); deep learning; fine tuning; pre-trained neural networks; prostate

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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