Managing tumor changes during radiotherapy using a deep learning model
Purpose We propose a treatment planning framework that accounts for weekly lung tumor
shrinkage using cone beam computed tomography (CBCT) images with a deep learning …
shrinkage using cone beam computed tomography (CBCT) images with a deep learning …
A Robust Treatment Planning Framework that Accounts for Weekly Tumor Shrinkage Using Cone Beam Computed Tomography Images Using Deep Learning-Based …
R Li - 2022 - search.proquest.com
Radiation therapy is an essential curative modality for the treatment of cancer. For this, the
shape of a patient's tumor is first outlined on computed tomography (CT) imaging. Then, a …
shape of a patient's tumor is first outlined on computed tomography (CT) imaging. Then, a …
Optimal interventions in robust optimization with time-dependent uncertainty
Uncertainties can be time-dependent, particularly in areas such as cancer radiotherapy
planning and maintenance scheduling, where the condition of the patient (or system) can …
planning and maintenance scheduling, where the condition of the patient (or system) can …