Multi-atlas-based segmentation of prostatic urethra from planning CT imaging to quantify dose distribution in prostate cancer radiotherapy-Reference-Cited by-同舟云学术

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Multi-atlas-based segmentation of prostatic urethra from planning CT imaging to quantify dose distribution in prostate cancer radiotherapy

Published:2017-12 Issue:3 Volume:125 Page:492-499
ISSN:0167-8140
Container-title:Radiotherapy and Oncology
language:en
Short-container-title:Radiotherapy and Oncology

Author:

Acosta Oscar,Mylona Eugenia,Le Dain Mathieu,Voisin Camille,Lizee Thibaut,Rigaud Bastien,Lafond Carolina,Gnep Khemara,de Crevoisier Renaud

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,Oncology,Hematology

Reference38 articles.

1. Dose-volume effects for normal tissues in external radiotherapy: pelvis;Fiorino;Radiother Oncol,2009

2. Preliminary toxicity analysis of 3-dimensional conformal radiation therapy versus intensity modulated radiation therapy on the high-dose arm of the Radiation Therapy Oncology Group 0126 prostate cancer trial;Michalski;Int J Radiat Oncol Biol Phys,2013

3. Late Genitourinary Toxicity Outcomes in 300 Prostate Cancer Patients Treated With Dose-escalated Image-guided Intensity-modulated Radiotherapy;Byrne;Clin Oncol (R Coll Radiol),2017

4. Independent external validation of predictive models for urinary dysfunction following external beam radiotherapy of the prostate: issues in model development and reporting;Yahya;Radiother Oncol,2016

5. Statistical-learning strategies generate only modestly performing predictive models for urinary symptoms following external beam radiotherapy of the prostate: a comparison of conventional and machine-learning methods;Yahya;Med Phys,2016

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of deep learning-based novel auto-segmentation for the prostatic urethra on planning CT images for prostate cancer radiotherapy;Radiological Physics and Technology;2024-08-14

2. Developing and validating a simple urethra surrogate model to facilitate dosimetric analysis to predict genitourinary toxicity;Clinical and Translational Radiation Oncology;2024-05

3. Selective ensemble methods for deep learning segmentation of major vessels in invasive coronary angiography;Medical Physics;2023-06-13

4. Membranous Urethral Reconstruction and Segmentation in Multiplanar T2W MRI Images;2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI);2023-04-18

5. Deep learning-based segmentation of prostatic urethra on computed tomography scans for treatment planning;Physics and Imaging in Radiation Oncology;2023-04

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