Radiation oncology in the era of precision medicine
Technological advances and clinical research over the past few decades have given
radiation oncologists the capability to personalize treatments for accurate delivery of …
radiation oncologists the capability to personalize treatments for accurate delivery of …
A review on application of deep learning algorithms in external beam radiotherapy automated treatment planning
M Wang, Q Zhang, S Lam, J Cai, R Yang - Frontiers in oncology, 2020 - frontiersin.org
Treatment planning plays an important role in the process of radiotherapy (RT). The quality
of the treatment plan directly and significantly affects patient treatment outcomes. In the past …
of the treatment plan directly and significantly affects patient treatment outcomes. In the past …
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
With the advancement of treatment modalities in radiation therapy for cancer patients,
outcomes have improved, but at the cost of increased treatment plan complexity and …
outcomes have improved, but at the cost of increased treatment plan complexity and …
3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture
The treatment planning process for patients with head and neck (H&N) cancer is regarded
as one of the most complicated due to large target volume, multiple prescription dose levels …
as one of the most complicated due to large target volume, multiple prescription dose levels …
DoseNet: a volumetric dose prediction algorithm using 3D fully-convolutional neural networks
V Kearney, JW Chan, S Haaf… - Physics in Medicine …, 2018 - iopscience.iop.org
The goal of this study is to demonstrate the feasibility of a novel fully-convolutional
volumetric dose prediction neural network (DoseNet) and test its performance on a cohort of …
volumetric dose prediction neural network (DoseNet) and test its performance on a cohort of …
Variation in external beam treatment plan quality: an inter-institutional study of planners and planning systems
BE Nelms, G Robinson, J Markham, K Velasco… - Practical radiation …, 2012 - Elsevier
Purpose This study quantifies variation in radiation treatment plan quality for plans
generated by a population of treatment planners given very specific plan objectives …
generated by a population of treatment planners given very specific plan objectives …
Predicting dose‐volume histograms for organs‐at‐risk in IMRT planning
LM Appenzoller, JM Michalski, WL Thorstad… - Medical …, 2012 - Wiley Online Library
Purpose: The objective of this work was to develop a quality control (QC) tool to reduce
intensity modulated radiotherapy (IMRT) planning variability and improve treatment plan …
intensity modulated radiotherapy (IMRT) planning variability and improve treatment plan …
Knowledge‐based prediction of three‐dimensional dose distributions for external beam radiotherapy
S Shiraishi, KL Moore - Medical physics, 2016 - Wiley Online Library
Purpose: To demonstrate knowledge‐based 3D dose prediction for external beam
radiotherapy. Methods: Using previously treated plans as training data, an artificial neural …
radiotherapy. Methods: Using previously treated plans as training data, an artificial neural …
Concepts and trends in autonomy for robot-assisted surgery
Surgical robots have been widely adopted with over 4000 robots being used in practice
daily. However, these are telerobots that are fully controlled by skilled human surgeons …
daily. However, these are telerobots that are fully controlled by skilled human surgeons …
A planning quality evaluation tool for prostate adaptive IMRT based on machine learning
Purpose: To ensure plan quality for adaptive IMRT of the prostate, we developed a
quantitative evaluation tool using a machine learning approach. This tool generates dose …
quantitative evaluation tool using a machine learning approach. This tool generates dose …