Identification of treatment error types for lung cancer patients using convolutional neural networks and EPID dosimetry.
CONCLUSION: This simulation study indicates that deep learning is a promising powerful tool for identifying types and magnitude of treatment errors with EPID dosimetry, providing additional information not currently available from EPID dosimetry. This is a first step towards rapid, automated models for identification of treatment errors using EPID dosimetry.
PMID: 33011206 [PubMed - as supplied by publisher]
Source: Radiotherapy and Oncology : journal of the European Society for Therapeutic Radiology and Oncology - Category: Radiology Authors: Wolfs CJA, Canters RAM, Verhaegen F Tags: Radiother Oncol Source Type: research
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