A dual-encoder UNet with CT pre-training and MixUp augmentation achieves 82.38% and 72.53% aggregated Dice on pre- and mid-radiotherapy head and neck tumor segmentation.
International Journal of Radiation Oncology* Biology* Physics81(4), e439–e445 (2011)
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Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet
A dual-encoder UNet with CT pre-training and MixUp augmentation achieves 82.38% and 72.53% aggregated Dice on pre- and mid-radiotherapy head and neck tumor segmentation.