R. Sabounchi

Improving deep learning organ segmentation accuracy in cone-beam CT-guided radiotherapy using a robust scatter suppression method

Background and purpose Deep learning–based segmentation of organs and tumors in cone-beam computed tomography (CBCT) is critical for improving workflow efficiency and accuracy in dose delivery monitoring and adaptive radiotherapy. However, degraded CBCT image quality, primarily due to scatter, can adversely affect segm...