Article

Leaf-Specific Classification of Multi-Leaf Collimator Positioning Errors in Volumetric Modulated Arc Therapy Using a Convolutional Neural Network

2026-05-21

Abstract excerpt

<h4>Background: </h4> /Objectives: Multi-leaf collimator (MLC) positioning accuracy critically affects delivered dose fidelity in volumetric modulated arc therapy (VMAT), yet conventional gamma-based quality assurance (QA) provides only plan-level pass/fail outcomes without leaf-specific error localization. This study developed and validated a convolutional neural network (CNN) framework that classifies the magnit...

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Literature Corpus work: 3c0a24d1-6935-51d1-9a3a-0a8419987464
DOI: 10.20944/preprints202605.1394.v1

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