Deep learning-based image quality assessment (DL-IQA) models are commonly trained using radiologist ratings and may provide a more objective approach to CT image quality evaluation. However, clinical deployment may be limited by...
AAPM | COMP Joint Meeting · Vancouver · July 19-22
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Jul 19 · 15:15
Evaluating a Deep Learning-Based CT Image Quality Model Using Radiologist Assessment In Clinical Abdominal CT
Azmul Siddique
Diagnostic and Interventional Radiology Physics
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Jul 19 · 15:15
Evaluating a Protocol-Agnostic Machine Learning Model for Automated Thoracic Radiotherapy Treatment Planning
To evaluate a protocol-agnostic machine learning (PlanAI) (Sun Nuclear, Mirion Medical Company, Florida, USA)1 model for automated treatment planning in external-beam radiotherapy for thoracic cancer.
Jaykumar Patel, PhD
Therapy Physics
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Jul 21 · 09:10
Evaluating Biology-Guided Radiotherapy (BgRT) Dose Conformity for Complex PET-Avid Targets Under Static and Motion Conditions
To examine the dose conformity during planning and delivery for complex C-shaped targets in an investigational RefleXion X2 platform under static and motion conditions.
Sanchit Sharma, PhD
Therapy Physics
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