Radiation therapy dose prediction for left-sided breast cancers using two-dimensional and three-dimensional deep learning models
• Machine learning models predicted dose distributions for left-sided breast cancer. • Simple U-net based network can produce clinically acceptable dose distributions. • The 6-layer 3D neural network outperformed the 7-layer 2D neural network. • Predictions consistently had lower V20 of the left lun...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Hedden, Natasha [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Umfang: |
7 |
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| Übergeordnetes Werk: |
Enthalten in: An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study - Almanassra, Ismail W. ELSEVIER, 2019, European journal of medical physics : an international journal devoted to the applications of physics to medicine and biology, Amsterdam |
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| Übergeordnetes Werk: |
volume:83 ; year:2021 ; pages:101-107 ; extent:7 |
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| DOI / URN: |
10.1016/j.ejmp.2021.02.021 |
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| 520 | |a • Machine learning models predicted dose distributions for left-sided breast cancer. • Simple U-net based network can produce clinically acceptable dose distributions. • The 6-layer 3D neural network outperformed the 7-layer 2D neural network. • Predictions consistently had lower V20 of the left lung than in the clinical plans. • Mean dose difference was always within 0.02% of dose prescription for both models. | ||
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Radiation therapy dose prediction for left-sided breast cancers using two-dimensional and three-dimensional deep learning models |
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• Machine learning models predicted dose distributions for left-sided breast cancer. • Simple U-net based network can produce clinically acceptable dose distributions. • The 6-layer 3D neural network outperformed the 7-layer 2D neural network. • Predictions consistently had lower V20 of the left lung than in the clinical plans. • Mean dose difference was always within 0.02% of dose prescription for both models. |
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• Machine learning models predicted dose distributions for left-sided breast cancer. • Simple U-net based network can produce clinically acceptable dose distributions. • The 6-layer 3D neural network outperformed the 7-layer 2D neural network. • Predictions consistently had lower V20 of the left lung than in the clinical plans. • Mean dose difference was always within 0.02% of dose prescription for both models. |
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• Machine learning models predicted dose distributions for left-sided breast cancer. • Simple U-net based network can produce clinically acceptable dose distributions. • The 6-layer 3D neural network outperformed the 7-layer 2D neural network. • Predictions consistently had lower V20 of the left lung than in the clinical plans. • Mean dose difference was always within 0.02% of dose prescription for both models. |
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