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Computer-aided segmentation on MRI for prostate radiotherapy, part I: Quantifying human interobserver variability of the prostate and organs at risk and its impact on radiation dosimetry
Radiotherapy and Oncology
◽
10.1016/j.radonc.2021.12.011
◽
2021
◽
Author(s):
Jeremiah W. Sanders
◽
Henry Mok
◽
Alexander N. Hanania
◽
Aradhana M. Venkatesan
◽
Chad Tang
◽
...
Keyword(s):
At Risk
◽
Radiation Dosimetry
◽
Interobserver Variability
◽
Organs At Risk
◽
Prostate Radiotherapy
◽
Computer Aided
Download Full-text
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International Journal of Radiation Oncology*Biology*Physics
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EP-1646: Impact of interobserver variability and setup uncertainty on dose in organs-at-risk
Radiotherapy and Oncology
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10.1016/s0167-8140(17)32081-9
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2017
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pp. S893-S894
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PO-0971: Segmentation of organs at risk using superpixels on MRI or CT images in prostate radiotherapy
Radiotherapy and Oncology
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◽
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◽
pp. S515
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Atlas Based Segmentation and Mapping of Organs at Risk from Planning CT for the Development of Voxel-Wise Predictive Models of Toxicity in Prostate Radiotherapy
Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention - Lecture Notes in Computer Science
◽
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At Risk
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Organs At Risk
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Planning Ct
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Use of machine learning methods for prediction of acute toxicity in organs at risk following prostate radiotherapy
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Interobserver Variability in Structure Delineation of Organs at Risk on Cone Beam CT using Raystation TPS v4.5.2
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◽
10.1016/j.jmir.2017.02.014
◽
2017
◽
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◽
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◽
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Interobserver Variability and Dosimetric Impact in Structure Delineation of Organs at Risk on Cone Beam CT
International Journal of Radiation Oncology*Biology*Physics
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2017
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Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy
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