# name
Automation of breast cancer dosimetry with Vision Transformers

# metadata.dc.description[].value
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2025, Tutors: Bruno Juliá Diaz, Pedro Gallego Franco

# metadata.dc.description.abstract[].value
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

# metadata.dc.title[].value
Automation of breast cancer dosimetry with Vision Transformers