Statistical process control to monitor use of a web‐based autoplanning tool
Author:
Affiliation:
1. Department of Radiation Physics The University of Texas MD Anderson Cancer Center Houston Texas USA
2. The University of Texas MD Anderson Graduate School of Biomedical Science Houston Texas USA
Publisher
Wiley
Subject
Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.13803
Reference34 articles.
1. The Emergence of Artificial Intelligence within Radiation Oncology Treatment Planning
2. A risk assessment of automated treatment planning and recommendations for clinical deployment
3. Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
4. Retrospective Validation and Clinical Implementation of Automated Contouring of Organs at Risk in the Head and Neck: A Step Toward Automated Radiation Treatment Planning for Low- and Middle-Income Countries
5. Automatic detection of contouring errors using convolutional neural networks
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