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Title:           Multi-institutional generalizability of a plan complexity machine learning model for predicting pre-treatment quality assurance results in radiotherapy
Subject:         Physics and Imaging in Radiation Oncology, 29 (2024) 100525. doi:10.1016/j.phro.2023.100525
Keywords:        Radiation therapy,Machine learning,VMAT,Quality assurance,Plan complexity,Multi-institutional validation
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      Title: Multi-institutional generalizability of a plan complexity machine learning model for predicting pre-treatment quality assur ...
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        Title: 1 Introduction
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        Title: 2 Material and methods
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          Title: 2.1 Proposed QA workflow
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          Title: 2.2 In-house data collection
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          Title: 2.3 Plan complexity metrics calculation
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        Title: Ethics approval and consent to participate
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  Checksum: 3574947c
   Type: CRC32
  Checksum: 1533cafa2f2233381144fa16e79fba5c
   Type: MD5
  Checksum: e8dae609d3c7a22d778bc5fbc5a5a3fbdb575ec8
   Type: SHA-1
  Checksum: 8c7247e25dd9250a30d0004239da7d9c617b2d488b691ee7cb97b3f5569fa560
   Type: SHA-256