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。Automatic Segmentation Using Deep Learning to Enable Online Dose Optimization During Adaptive Radiation Therapy of Cervical Cancer
Bastien Rigaud et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2021)
Development and dosimetric assessment of an automatic dental artifact classification tool to guide artifact management techniques in a fully automated treatment planning workflow
Soleil Hernandez et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2021)
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study
Stanislav Nikolov et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2021)
Strategies for effective physics plan and chart review in radiation therapy: Report of AAPM Task Group 275
Eric Ford et al.
MEDICAL PHYSICS (2020)
Automatic contouring system for cervical cancer using convolutional neural networks
Dong Joo Rhee et al.
MEDICAL PHYSICS (2020)
Analysis of Geometric Performance and Dosimetric Impact of Using Automatic Contour Segmentation for Radiotherapy Planning
Minsong Cao et al.
FRONTIERS IN ONCOLOGY (2020)
Advances in Auto-Segmentation
Carlos E. Cardenas et al.
SEMINARS IN RADIATION ONCOLOGY (2019)
Automatic detection of contouring errors using convolutional neural networks
Dong Joo Rhee et al.
MEDICAL PHYSICS (2019)
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Automated OAR Anomaly and Error Detection Tool in Radiation Therapy
C. B. Hui et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (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)
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)
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets
Tobias Heimann et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2009)
分享论文
