Clinical validation of a semi-automated segmentation algorithm for target volume definition on planning CT and CBCT in stereotactic body radiotherapy (SBRT) for peripheral lung lesions.
Ahmed Allam MohamedKathrin RisseLaura SchmitzMarsha SchlenterAhmed ChughtaiMaria IvanciuMichael J EblePublished in: Journal of medical radiation sciences (2022)
The segmentation algorithm provides a reliable, standardised and time-saving alternative for manual delineation in lung SBRT in P-CT and CBCT.
Keyphrases
- deep learning
- image quality
- radiation therapy
- convolutional neural network
- computed tomography
- machine learning
- dual energy
- contrast enhanced
- cone beam computed tomography
- locally advanced
- radiation induced
- magnetic resonance imaging
- positron emission tomography
- magnetic resonance
- high throughput
- neural network
- chemotherapy induced