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Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer

Abstract Background The evaluation of automatic segmentation algorithms is commonly performed using geometric metrics. An analysis based on dosimetric parameters might be more relevant in clinical practice but is often lacking in the literature. The aim of this study was to investigate the impact of...

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Kaydedildi:
Asıl Yazarlar: Maria Kawula, Dinu Purice, Minglun Li, Gerome Vivar, Seyed-Ahmad Ahmadi, Katia Parodi, Claus Belka, Guillaume Landry, Christopher Kurz
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BMC 2022-01-01
Seri Bilgileri:Radiation Oncology
Konular:
3D U-Net
Automatic segmentation
Radiation therapy
Prostate cancer
Neural networks
Deep learning
Online Erişim:https://doi.org/10.1186/s13014-022-01985-9
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