AIMC Topic: Radiotherapy Dosage
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Using Artificial Intelligence to Improve the Quality and Safety of Radiation Therapy.
Journal of the American College of Radiology : JACR
Sep 1, 2019
Within artificial intelligence, machine learning (ML) efforts in radiation oncology have augmented the transition from generalized to personalized treatment delivery. Although their impact on quality and safety of radiation therapy has been limited, ...
Deep Learning Based Dosimetry Evaluation at Organs-at-Risk in Esophageal Radiation Treatment Planning.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Rapid esophageal radiation treatment planning is often obstructed by manually adjusting optimization parameters. The adjustment process is commonly guided by the dose-volume histogram (DVH), which evaluates dosimetry at planning target volume (PTV) a...
In Regard to Bondiau et al.
International journal of radiation oncology, biology, physics
Jul 1, 2019
MR-based treatment planning in radiation therapy using a deep learning approach.
Journal of applied clinical medical physics
Mar 1, 2019
PURPOSE: To develop and evaluate the feasibility of deep learning approaches for MR-based treatment planning (deepMTP) in brain tumor radiation therapy.
Imaging, Three-Dimensional
Magnetic Resonance Imaging
Stroke
Middle Aged
Deep Learning
Radiotherapy Planning, Computer-Assisted
Radiotherapy Dosage
Radiotherapy, Intensity-Modulated
Aged
Aged, 80 and over
Young Adult
Adult
Brain Neoplasms
Male
Retrospective Studies
Tomography, X-Ray Computed
Female
Humans
Radiotherapy Treatment Planning in the Age of AI: Are We Ready Yet?
Technology in cancer research & treatment
Jan 1, 2019
Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future.
Technology in cancer research & treatment
Jan 1, 2019
Treatment planning is an essential step of the radiotherapy workflow. It has become more sophisticated over the past couple of decades with the help of computer science, enabling planners to design highly complex radiotherapy plans to minimize the no...
Can the Student Outperform the Master? A Plan Comparison Between Pinnacle Auto-Planning and Eclipse knowledge-Based RapidPlan Following a Prostate-Bed Plan Competition.
Technology in cancer research & treatment
Jan 1, 2019
PURPOSE: Pinnacle Auto-Planning and Eclipse RapidPlan are 2 major commercial automated planning engines that are fundamentally different: Auto-Planning mimics real planners in the iterative optimization, while RapidPlan generates static dose objectiv...
[Impact of DVH Outliers Registered in Knowledge-based Planning on Volumetric Modulated Arc Therapy Treatment Planning for Prostate Cancer].
Nihon Hoshasen Gijutsu Gakkai zasshi
Jan 1, 2019
RapidPlan, a knowledge-based planning software, uses a model library containing the dose-volume histogram (DVH) of previous treatment plans, and it automatically provides optimization objectives based on a trained model to future patients for volumet...
[Prediction of three-dimensional dose distribution in intensity-modulated radiation therapy based on neural network learning].
Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Jun 20, 2018
OBJECTIVE: To establish the association between the geometric anatomical characteristics of the patients and the corresponding three-dimensional (3D) dose distribution of radiotherapy plan via feed-forward back-propagation neural network for clinical...
Robotic path-finding in inverse treatment planning for stereotactic radiosurgery with continuous dose delivery.
Medical physics
Aug 1, 2016
PURPOSE: Continuous dose delivery in radiation therapy treatments has been shown to decrease total treatment time while improving the dose conformity and distribution homogeneity over the conventional step-and-shoot approach. The authors develop an i...
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