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A review on application of deep learning algorithms in external beam radiotherapy automated treatment planning
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 …
Knowledge‐based radiation treatment planning: a data‐driven method survey
This paper surveys the data‐driven dose prediction methods investigated for knowledge‐
based planning (KBP) in the last decade. These methods were classified into two major …
based planning (KBP) in the last decade. These methods were classified into two major …
[HTML][HTML] A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy
Abstract Background and purpose Artificial Intelligence (AI) models in radiation therapy are
being developed with increasing pace. Despite this, the radiation therapy community has not …
being developed with increasing pace. Despite this, the radiation therapy community has not …
Online adaptive planning methods for intensity-modulated radiotherapy
Online adaptive radiation therapy aims at adapting a patient's treatment plan to their current
anatomy to account for inter-fraction variations before daily treatment delivery. As this …
anatomy to account for inter-fraction variations before daily treatment delivery. As this …
Deep learning dose prediction for IMRT of esophageal cancer: the effect of data quality and quantity on model performance
Purpose To investigate the effect of data quality and quantity on the performance of deep
learning (DL) models, for dose prediction of intensity-modulated radiotherapy (IMRT) of …
learning (DL) models, for dose prediction of intensity-modulated radiotherapy (IMRT) of …
Artificial intelligence in radiation therapy
Artificial intelligence (AI) has great potential to transform the clinical workflow of
radiotherapy. Since the introduction of deep neural networks (DNNs), many AI-based …
radiotherapy. Since the introduction of deep neural networks (DNNs), many AI-based …
Advances in automated treatment planning
Treatment planning in radiation therapy has progressed enormously over the past several
decades. Such advancements came in the form of innovative hardware and algorithms …
decades. Such advancements came in the form of innovative hardware and algorithms …
Generating deliverable DICOM RT treatment plans for prostate VMAT by predicting MLC motion sequences with an encoder‐decoder network
Background Deep learning‐based auto‐planning is an active research field; however, for
some tasks a treatment planning system (TPS) is still required. Purpose To introduce a deep …
some tasks a treatment planning system (TPS) is still required. Purpose To introduce a deep …
A hierarchical deep reinforcement learning framework for intelligent automatic treatment planning of prostate cancer intensity modulated radiation therapy
Purpose. We have previously proposed an intelligent automatic treatment planning (IATP)
framework that builds a virtual treatment planner network (VTPN) to operate a treatment …
framework that builds a virtual treatment planner network (VTPN) to operate a treatment …
Artificial intelligence‐based radiotherapy machine parameter optimization using reinforcement learning
Purpose To develop and evaluate a volumetric modulated arc therapy (VMAT) machine
parameter optimization (MPO) approach based on deep‐Q reinforcement learning (RL) …
parameter optimization (MPO) approach based on deep‐Q reinforcement learning (RL) …