Automatic Segmentation Using Deep Learning to Enable Online Dose Optimization During Adaptive Radiation Therapy of Cervical Cancer
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Automatic Segmentation Using Deep Learning to Enable Online Dose Optimization During Adaptive Radiation Therapy of Cervical Cancer
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
Volume 109, Issue 4, Pages 1096-1110
Publisher
Elsevier BV
Online
2020-11-10
DOI
10.1016/j.ijrobp.2020.10.038
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- CBCT‐based Synthetic CT Generation using Deep‐attention CycleGAN for Pancreatic Adaptive Radiotherapy
- (2020) Yingzi Liu et al. MEDICAL PHYSICS
- Segmentation of organs-at-risk in cervical cancer CT images with a convolutional neural network
- (2020) Zhikai Liu et al. Physica Medica-European Journal of Medical Physics
- Low Tesla magnetic resonance guided radiotherapy for locally advanced cervical cancer: first clinical experience
- (2020) Luca Boldrini et al. TUMORI
- Machine segmentation of pelvic anatomy in MRI-assisted radiosurgery (MARS) for prostate cancer brachytherapy
- (2020) Jeremiah W. Sanders et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Deformable image registration for radiation therapy: principle, methods, applications and evaluation
- (2019) Bastien Rigaud et al. ACTA ONCOLOGICA
- Advances in Auto-Segmentation
- (2019) Carlos E. Cardenas et al. SEMINARS IN RADIATION ONCOLOGY
- Adaptive Radiotherapy for Anatomical Changes
- (2019) Jan-Jakob Sonke et al. SEMINARS IN RADIATION ONCOLOGY
- Comparison of deep learning-based and patch-based methods for pseudo-CT generation in MRI-based prostate dose planning
- (2019) Axel Largent et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Automatic detection of contouring errors using convolutional neural networks
- (2019) Dong Joo Rhee et al. MEDICAL PHYSICS
- H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
- (2018) Xiaomeng Li et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Patient-Reported Toxicity During Pelvic Intensity-Modulated Radiation Therapy: NRG Oncology–RTOG 1203
- (2018) Ann H. Klopp et al. JOURNAL OF CLINICAL ONCOLOGY
- CBCT-guided evolutive library for cervical adaptive IMRT
- (2018) Bastien Rigaud et al. MEDICAL PHYSICS
- Statistical shape model to generate a planning library for cervical adaptive radiotherapy
- (2018) Bastien Rigaud et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Dynamics of patient reported quality of life and symptoms in the acute phase of online adaptive external beam radiation therapy for locally advanced cervical cancer
- (2017) S.T. Heijkoop et al. GYNECOLOGIC ONCOLOGY
- Quantification of intra-fraction changes during radiotherapy of cervical cancer assessed with pre- and post-fraction Cone Beam CT scans
- (2015) Sabrina T. Heijkoop et al. RADIOTHERAPY AND ONCOLOGY
- Variability of clinical target volume delineation for definitive radiotherapy in cervix cancer
- (2015) Gemma Eminowicz et al. RADIOTHERAPY AND ONCOLOGY
- A Systematic Review of Organ Motion and Image-guided Strategies in External Beam Radiotherapy for Cervical Cancer
- (2014) R. Jadon et al. CLINICAL ONCOLOGY
- Clinical Implementation of an Online Adaptive Plan-of-the-Day Protocol for Nonrigid Motion Management in Locally Advanced Cervical Cancer IMRT
- (2014) Sabrina T. Heijkoop et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Dosimetrically Triggered Adaptive Intensity Modulated Radiation Therapy for Cervical Cancer
- (2014) Karen Lim et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Repeat CT-scan assessment of lymph node motion in locally advanced cervical cancer patients
- (2014) Luiza Bondar et al. STRAHLENTHERAPIE UND ONKOLOGIE
- Free-form image registration regularized by a statistical shape model: application to organ segmentation in cervical MR
- (2013) Floris F. Berendsen et al. COMPUTER VISION AND IMAGE UNDERSTANDING
- A Fully Automated Method for CT-on-Rails-Guided Online Adaptive Planning for Prostate Cancer Intensity Modulated Radiation Therapy
- (2013) Xiaoqiang Li et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Hybrid adaptive radiotherapy with on-line MRI in cervix cancer IMRT
- (2013) Seungjong Oh et al. RADIOTHERAPY AND ONCOLOGY
- Simultaneous Nonrigid Registration, Segmentation, and Tumor Detection in MRI Guided Cervical Cancer Radiation Therapy
- (2012) Chao Lu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Pelvic Normal Tissue Contouring Guidelines for Radiation Therapy: A Radiation Therapy Oncology Group Consensus Panel Atlas
- (2012) Hiram A. Gay et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Automated Weekly Replanning for Intensity-Modulated Radiotherapy of Cervix Cancer
- (2010) James Stewart et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Contour propagation in MRI-guided radiotherapy treatment of cervical cancer: the accuracy of rigid, non-rigid and semi-automatic registrations
- (2009) R W van der Put et al. PHYSICS IN MEDICINE AND BIOLOGY
- Inter-observer comparison of target delineation for MRI-assisted cervical cancer brachytherapy: Application of the GYN GEC-ESTRO recommendations
- (2008) Johannes C.A. Dimopoulos et al. RADIOTHERAPY AND ONCOLOGY
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started