Back to search

Article

The Dosimetric Impact of Deep Learning-Based Auto-Segmentation of Organs at Risk on Nasopharyngeal and Rectal Cancer

2021-03-19

Abstract excerpt

<title>Abstract</title> <p>PurposeTo investigate the dosimetric impact of deep learning-based auto-segmentation of organs at risk (OARs) on nasopharyngeal and rectal cancer.Methods and MaterialsTwenty patients, including ten nasopharyngeal carcinoma (NPC) patients and ten rectal cancer patients, who received radiotherapy in our department were enrolled in this study. Two deep learning-based auto-segmentation syst...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
38c4c7f5-62f8-51b8-90df-f22a11a3864c
DOI
10.21203/rs.3.rs-328649/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
The Dosimetric Impact of Deep Learning-Based Auto-Segmentation of Organs at Risk on Nasopharyngeal and Rectal CancerDOI 10.21203/rs.3.rs-328649/v1
Dosimetric Impact of Deep Learning-Based CT Auto-Segmentation on IMRT Treatment Planning for Prostate CancerSemantic proximity
Evaluation of Auto-segmentation for External Radiotherapy Planning Structures:A Part of Deep Learning Based Workflow in Cervical CancerSemantic proximity
SCARF: Auto-Segmentation Clinical Acceptability & Reproducibility Framework for Benchmarking Essential Radiation Therapy Targets in Head and Neck CancerSemantic proximity
Evaluation of auto-segmentation for brachytherapy of postoperative cervical cancer using deep learning-based workflowSemantic proximity
Clinical Evaluation of a Novel Deep Learning-Based Auto-Segmentation Software: Utility and Potential PitfallsSemantic proximity
Clinical implementation and evaluation of deep learning-assisted automatic radiotherapy treatment planning for lung cancerSemantic proximity
A deep learning-driven automated treatment planning framework for patient treated with radiotherapy in cervical cancerSemantic proximity
Enhancing Precision in Rectal Cancer Radiotherapy: Localized Fine-Tuning of Deep-learning based Auto-segmentation (DLAS) Model for Clinical Target Volume and Organs-at-riskSemantic proximity
Automatic Segmentation of Clinical Target Volume and Organs-At-Risk for Breast Conservative Radiotherapy Using a Convolutional Neural NetworkSemantic proximity
Development of a High-Performance Multiparametric MRI Oropharyngeal Primary Tumor Auto-Segmentation Deep Learning Model and Investigation of Input Channel Effects: Results from a Prospective Imaging RegistrySemantic proximity
Investigation of Autosegmentation Techniques on T2-Weighted MRI for Off-line Dose Reconstruction in MR-Linac Adapt to Position Workflow for Head and Neck CancersSemantic proximity
Auto-segmentation of the parotid glands on MR images of head and neck cancer patients with deep learning strategiesSemantic proximity
Select a neighboring publication to make it the new centre.