Training and Validation of Deep Learning-Based Auto-Segmentation Models for Lung Stereotactic Ablative Radiotherapy Using Retrospective Radiotherapy Planning Contours.

Wong, Jordan; Huang, Vicky; Giambattista, Joshua A; Teke, Tony; Kolbeck, Carter; Giambattista, Jonathan; Atrchian, Siavash

Wong, Jordan; Huang, Vicky; Giambattista, Joshua A; Teke, Tony; Kolbeck, Carter; Giambattista, Jonathan; Atrchian, Siavash.

Afiliación

Wong J; Radiation Oncology, British Columbia Cancer - Vancouver, Vancouver, BC, Canada.
Huang V; Medical Physics, British Columbia Cancer - Fraser Valley, Surrey, BC, Canada.
Giambattista JA; Radiation Oncology, Saskatchewan Cancer Agency, Regina, SK, Canada.
Teke T; Limbus AI Inc, Regina, SK, Canada.
Kolbeck C; Medical Physics/Radiation Oncology, British Columbia Cancer - Kelowna, Kelowna, BC, Canada.
Giambattista J; Limbus AI Inc, Regina, SK, Canada.
Atrchian S; Limbus AI Inc, Regina, SK, Canada.

Front Oncol ; 11: 626499, 2021.

Article en En | MEDLINE | ID: mdl-34164335

Palabras clave

computer-assist; machine learning; radiotherapy; radiotherapy plan; stereotactic ablative body radiation

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: Front Oncol Año: 2021 Tipo del documento: Article País de afiliación: Canadá

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