AI Medical Compendium Journal:
Journal of applied clinical medical physics

Showing 111 to 120 of 159 articles

Deep learning-based convolutional neural network for intramodality brain MRI synthesis.

Journal of applied clinical medical physics Jan 19, 2022
PURPOSE: The existence of multicontrast magnetic resonance (MR) images increases the level of clinical information available for the diagnosis and treatment of brain cancer patients. However, acquiring the complete set of multicontrast MR images is n...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Brain Magnetic Resonance Imaging Brain Neoplasms
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Deep-learning-assisted algorithm for catheter reconstruction during MR-only gynecological interstitial brachytherapy.

Journal of applied clinical medical physics Dec 10, 2021
Magnetic resonance imaging (MRI) offers excellent soft-tissue contrast enabling the contouring of targets and organs at risk during gynecological interstitial brachytherapy procedure. Despite its advantage, one of the main obstacles preventing a tran...
Algorithms Deep Learning Humans Catheters Brachytherapy Radiotherapy Dosage Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted
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A hybrid approach based on deep learning and level set formulation for liver segmentation in CT images.

Journal of applied clinical medical physics Dec 6, 2021
Accurate liver segmentation is essential for radiation therapy planning of hepatocellular carcinoma and absorbed dose calculation. However, liver segmentation is a challenging task due to the anatomical variability in both shape and size and the low ...
Liver Neoplasms Image Processing, Computer-Assisted Humans Tomography, X-Ray Computed Deep Learning
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Deep learning-based auto-segmentation of clinical target volumes for radiotherapy treatment of cervical cancer.

Journal of applied clinical medical physics Nov 22, 2021
OBJECTIVES: Because radiotherapy is indispensible for treating cervical cancer, it is critical to accurately and efficiently delineate the radiation targets. We evaluated a deep learning (DL)-based auto-segmentation algorithm for automatic contouring...
Deep Learning Organs at Risk Female Uterine Cervical Neoplasms Radiotherapy Planning, Computer-Assisted Humans Algorithms
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Deep learning-based classification and structure name standardization for organ at risk and target delineations in prostate cancer radiotherapy.

Journal of applied clinical medical physics Oct 8, 2021
Radiotherapy (RT) datasets can suffer from variations in annotation of organ at risk (OAR) and target structures. Annotation standards exist, but their description for prostate targets is limited. This restricts the use of such data for supervised ma...
Magnetic Resonance Imaging Prostatic Neoplasms Male Radiotherapy Planning, Computer-Assisted Deep Learning Reference Standards Humans
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Natural language processing and machine learning to assist radiation oncology incident learning.

Journal of applied clinical medical physics Oct 5, 2021
PURPOSE: To develop a Natural Language Processing (NLP) and Machine Learning (ML) pipeline that can be integrated into an Incident Learning System (ILS) to assist radiation oncology incident learning by semi-automating incident classification. Our go...
Risk Management Radiation Oncology Canada Natural Language Processing Humans Machine Learning
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Deformable registration of chest CT images using a 3D convolutional neural network based on unsupervised learning.

Journal of applied clinical medical physics Sep 10, 2021
PURPOSE: The deformable registration of 3D chest computed tomography (CT) images is one of the most important tasks in the field of medical image registration. However, the nonlinear deformation and large-scale displacement of lung tissues caused by ...
Neural Networks, Computer Tomography, X-Ray Computed Imaging, Three-Dimensional Image Processing, Computer-Assisted Unsupervised Machine Learning
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Applications of machine and deep learning to patient-specific IMRT/VMAT quality assurance.

Journal of applied clinical medical physics Aug 3, 2021
In order to deliver accurate and safe treatment to cancer patients in radiation therapy using advanced techniques such as intensity modulated radiation therapy (IMRT) and volumetric-arc radiation therapy (VMAT), patient specific quality assurance (QA...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Phantoms, Imaging Humans Machine Learning Deep Learning
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Automatic segmentation of rectal tumor on diffusion-weighted images by deep learning with U-Net.

Journal of applied clinical medical physics Aug 3, 2021
PURPOSE: Manual delineation of a rectal tumor on a volumetric image is time-consuming and subjective. Deep learning has been used to segment rectal tumors automatically on T2-weighted images, but automatic segmentation on diffusion-weighted imaging i...
Rectal Neoplasms Diffusion Magnetic Resonance Imaging Image Processing, Computer-Assisted Rectum Neural Networks, Computer Deep Learning Humans
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A sensitivity analysis of probability maps in deep-learning-based anatomical segmentation.

Journal of applied clinical medical physics Jul 7, 2021
PURPOSE: Deep-learning-based segmentation models implicitly learn to predict the presence of a structure based on its overall prominence in the training dataset. This phenomenon is observed and accounted for in deep-learning applications such as natu...
Probability Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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