相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Incremental retraining, clinical implementation, and acceptance rate of deep learning auto-segmentation for male pelvis in a multiuser environment
Jingwei Duan et al.
MEDICAL PHYSICS (2023)
Contouring quality assurance methodology based on multiple geometric features against deep learning auto-segmentation
Jingwei Duan et al.
MEDICAL PHYSICS (2023)
First Report On Physician Assessment and Clinical Acceptability of Custom-Retrained Artificial Intelligence Models for Clinical Target Volume and Organs-at-Risk Auto-Delineation for Postprostatectomy Patients
Dean Hobbis et al.
PRACTICAL RADIATION ONCOLOGY (2023)
Knowledge-based quality control of organ delineations in radiation therapy
Hamidreza Nourzadeh et al.
MEDICAL PHYSICS (2022)
Automatic contouring QA method using a deep learning-based autocontouring system
Dong Joo Rhee et al.
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS (2022)
Machine learning-based detection of aberrant deep learning segmentations of target and organs at risk for prostate radiotherapy using a secondary segmentation algorithm
Michael Claessens et al.
PHYSICS IN MEDICINE AND BIOLOGY (2022)
Interobserver variability in organ at risk delineation in head and neck cancer
J. van der Veen et al.
RADIATION ONCOLOGY (2021)
Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring
Lisanne V. van Dijk et al.
RADIOTHERAPY AND ONCOLOGY (2020)
Strategies for effective physics plan and chart review in radiation therapy: Report of AAPM Task Group 275
Eric Ford et al.
MEDICAL PHYSICS (2020)
Improving accuracy and robustness of deep convolutional neural network based thoracic OAR segmentation
Xue Feng et al.
PHYSICS IN MEDICINE AND BIOLOGY (2020)
Automated Quality Assurance of OAR Contouring for Lung Cancer Based on Segmentation With Deep Active Learning
Kuo Men et al.
FRONTIERS IN ONCOLOGY (2020)
Auto-segmentation of organs at risk for head and neck radiotherapy planning: From atlas-based to deep learning methods
Tomaz Vrtovec et al.
MEDICAL PHYSICS (2020)
Machine learning applications in radiation oncology: Current use and needs to support clinical implementation
Charlotte L. Brouwer et al.
PHYSICS & IMAGING IN RADIATION 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)
Inter-observer variability of manual contour delineation of structures in CT
Leo Joskowicz et al.
EUROPEAN RADIOLOGY (2019)
Rapid advances in auto-segmentation of organs at risk and target volumes in head and neck cancer
M. Kosmin et al.
RADIOTHERAPY AND ONCOLOGY (2019)
Advances in Auto-Segmentation
Carlos E. Cardenas et al.
SEMINARS IN RADIATION ONCOLOGY (2019)
Adaptive Radiotherapy for Anatomical to Changes
Jan-Jakob Sonke et al.
SEMINARS IN RADIATION ONCOLOGY (2019)
Practical Clinical Workflows for Online and Offline Adaptive Radiation Therapy
Olga L. Green et al.
SEMINARS IN RADIATION ONCOLOGY (2019)
Automatic detection of contouring errors using convolutional neural networks
Dong Joo Rhee et al.
MEDICAL PHYSICS (2019)
A study of positioning orientation effect on segmentation accuracy using convolutional neural networks for rectal cancer
Kuo Men et al.
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS (2019)
Quality assurance tool for organ at risk delineation in radiation therapy using a parametric statistical approach
Cheukkai B. Hui et al.
MEDICAL PHYSICS (2018)
The EPTN consensus-based atlas for CT- and MR-based contouring in neuro-oncology
Danielle B. P. Eekers et al.
RADIOTHERAPY AND ONCOLOGY (2018)
Evaluation of segmentation methods on head and neck CT: Auto-segmentation challenge 2015
Patrik F. Raudaschl et al.
MEDICAL PHYSICS (2017)
Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer
Martin Vallieres et al.
SCIENTIFIC REPORTS (2017)
Automated contouring error detection based on supervised geometric attribute distribution models for radiation therapy: A general strategy
Hsin-Chen Chen et al.
MEDICAL PHYSICS (2015)
A framework for automated contour quality assurance in radiation therapy including adaptive techniques
M. B. Altman et al.
PHYSICS IN MEDICINE AND BIOLOGY (2015)
The Impact of Peer Review of Volume Delineation in Stereotactic Body Radiation Therapy Planning for Primary Lung Cancer: A Multicenter Quality Assurance Study
Andrea C. Lo et al.
JOURNAL OF THORACIC ONCOLOGY (2014)
Groupwise Conditional Random Forests for Automatic Shape Classification and Contour Quality Assessment in Radiotherapy Planning
Chris McIntosh et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2013)
The Effect of Contouring Variability on Dosimetric Parameters for Brain Metastases Treated With Stereotactic Radiosurgery
Julia Stanley et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2013)
Enhancing the role of case-oriented peer review to improve quality and safety in radiation oncology: Executive summary
Lawrence B. Marks et al.
PRACTICAL RADIATION ONCOLOGY (2013)
3D Variation in delineation of head and neck organs at risk
Charlotte L. Brouwer et al.
RADIATION ONCOLOGY (2012)
Error in the delivery of radiation therapy: Results of a quality assurance review
G Huang et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2005)
Quality assurance in radiotherapy: evaluation of errors and incidents recorded over a 10 year period
TK Yeung et al.
RADIOTHERAPY AND ONCOLOGY (2005)