Deep learning auto-segmentation on multi-sequence magnetic resonance images for upper abdominal organs.

Amjad, Asma; Xu, Jiaofeng; Thill, Dan; Zhang, Ying; Ding, Jie; Paulson, Eric; Hall, William; Erickson, Beth A; Li, X Allen

Amjad, Asma; Xu, Jiaofeng; Thill, Dan; Zhang, Ying; Ding, Jie; Paulson, Eric; Hall, William; Erickson, Beth A; Li, X Allen.

Afiliação

Amjad A; Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Xu J; Elekta Inc., ST. Charles, MO, United States.
Thill D; Elekta Inc., ST. Charles, MO, United States.
Zhang Y; Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Ding J; Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Paulson E; Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Hall W; Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Erickson BA; Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.
Li XA; Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States.

Front Oncol ; 13: 1209558, 2023.

Article em En | MEDLINE | ID: mdl-37483486

Palavras-chave

MRI-guided RT; abdominal organs; auto-segmentation; deep learning; multi-sequence MRI

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Oncol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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