A deep learning pipeline can automatically outline the liver dome in kV-triggered images with mean errors of 6.4 to 7.7 mm and detection rates of 92% and 76% in two patient folds.
Dosimetric assessment of patient- specific breath-hold reproducibility on liver motion for SBRT planning
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Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy
A deep learning pipeline can automatically outline the liver dome in kV-triggered images with mean errors of 6.4 to 7.7 mm and detection rates of 92% and 76% in two patient folds.