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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/223121
Automation of breast cancer dosimetry with Vision Transformers
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A hybrid model combining a Vision Transformers encoder with convolutional layers is proposed for breast cancer dosimetry. Its predictions were compared with a baseline U-Net trained under the same conditions. The results suggest improved performance in OAR metrics, while maintaining acceptable accuracy in PTV dose prediction. However, no statistically significant differences were found, so further research is still needed to explore the full potential of Transformers in radiotherapy
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Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2025, Tutors: Bruno Juliá Diaz, Pedro Gallego Franco
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MATAS LÓPEZ, Ana. Automation of breast cancer dosimetry with Vision Transformers. [consulted: 18 of June of 2026]. Available at: https://hdl.handle.net/2445/223121