Assessing the Reliability of Markerless Tumor Tracking Using Machine Learning Models
Markerless tumor tracking (MTT) using single-energy (SE) kilovoltage (kV) imaging is being considered for lung tumor motion management. However, bone overlap with tumor can reduce visibility and tracking accuracy. Dual-energy (DE) imaging suppresses bone and...
Poster Program · Therapy Physics
Attribution Energy As a Companion Interpretability Metric for Grad-CAM In CBCT Image-Quality Assessment
Deep learning models have shown promise for image-quality rating tasks, yet the visual cues they rely on are often difficult to interpret. Grad-CAM and related saliency methods are commonly used to visualize attribution, but these heatmaps often yield unclear...
Poster Program · Therapy Physics