Article

Deep Learning-Based Multileaf Collimator Error Classification and Quantification in Patient- Specific Intensity Modulated Radiation Therapy Quality Assurance

2025-04-01

Abstract excerpt

<title>Abstract</title> <p>Purpose This study presents a deep learning–based patient-specific quality assurance (PSQA) framework for rectal cancer intensity-modulated radiation therapy (IMRT) designed to classify and quantify multileaf collimator (MLC) position errors. Materials and Methods Thirty rectal IMRT treatment plans were analyzed, and both systematic and random MLC errors were deliberately introduced b...

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Literature Corpus work: 05f78d4f-43ee-5456-a2ca-5c187a453060
DOI: 10.21203/rs.3.rs-6231733/v1

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