Related references
Note: Only part of the references are listed.Analytic calculations and synthetic shapes for validation of quantitative contour comparison software
Djamal Boukerroui et al.
PHYSICS & IMAGING IN RADIATION ONCOLOGY (2023)
PD-0064 Multicenter comparison of measures for quantitative evaluation of automatic contouring
E. Brunenberg et al.
RADIOTHERAPY AND ONCOLOGY (2022)
Multicenter comparison of measures for quantitative evaluation of contouring in radiotherapy
Mark J. Gooding et al.
PHYSICS & IMAGING IN RADIATION ONCOLOGY (2022)
Clinical implementation of deep-learning based auto-contouring tools-Experience of three French radiotherapy centers
C. Robert et al.
CANCER RADIOTHERAPIE (2021)
Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance
Liesbeth Vandewinckele et al.
RADIOTHERAPY AND ONCOLOGY (2020)
External validation of deep learning-based contouring of head and neck organs at risk
Ellen J. L. Brunenberg et al.
PHYSICS & IMAGING IN RADIATION ONCOLOGY (2020)
Evaluation of measures for assessing time-saving of automatic organ-at-risk segmentation in radiotherapy
Femke Vaassen et al.
PHYSICS & IMAGING IN RADIATION ONCOLOGY (2020)
Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer
Tim Lustberg et al.
RADIOTHERAPY AND ONCOLOGY (2018)
Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017
Jinzhong Yang et al.
MEDICAL PHYSICS (2018)
Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task
Kristy K. Brock et al.
MEDICAL PHYSICS (2017)
Uncertainties in volume delineation in radiation oncology: A systematic review and recommendations for future studies
Shalini K. Vinod et al.
RADIOTHERAPY AND ONCOLOGY (2016)
Methods, software and datasets to verify DVH calculations against analytical values: Twenty years late(r)
Benjamin Nelms et al.
MEDICAL PHYSICS (2015)
Vision 20/20: Perspectives on automated image segmentation for radiotherapy
Gregory Sharp et al.
MEDICAL PHYSICS (2014)
A review of methods of analysis in contouring studies for radiation oncology
Michael G. Jameson et al.
JOURNAL OF MEDICAL IMAGING AND RADIATION ONCOLOGY (2010)
Share Paper
