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Create a Free AccountPapers from the SFPM 2021
A high-performance method of deep learning for prostate MR-only radiotherapy planning using an optimized Pix2Pix architecture
Computed tomography (CT) is commonly used as the reference imaging method for radiation therapy treatment planning [1]. Indeed, CT values can be directly converted to electron densities for radiation dose calculation [1]. However, CT images have several drawbacks, particularly the limited soft-tissue contrast and ionizing radiation to the patient [2,3].
