AIMC Journal:
Medical physics

Showing 391 to 400 of 732 articles

Technical Note: Dose prediction for radiation therapy using feature-based losses and One Cycle Learning.

Medical physics Jun 22, 2021
PURPOSE: To present the technical details of the runner-up model in the open knowledge-based planning (OpenKBP) challenge for the dose-volume histogram (DVH) stream. The model was designed to ensure simple and reproducible training, without the neces...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Deep Learning Organs at Risk Humans
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Densely connected U-Net retinal vessel segmentation algorithm based on multi-scale feature convolution extraction.

Medical physics Jun 16, 2021
PURPOSE: The segmentation results of retinal blood vessels have a significant impact on the automatic diagnosis of various ophthalmic diseases. In order to further improve the segmentation accuracy of retinal vessels, we propose an improved algorithm...
Image Processing, Computer-Assisted Retinal Vessels Algorithms Databases, Factual Neural Networks, Computer
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Deep learning-based multi-modal computing with feature disentanglement for MRI image synthesis.

Medical physics Jun 7, 2021
PURPOSE: Different Magnetic resonance imaging (MRI) modalities of the same anatomical structure are required to present different pathological information from the physical level for diagnostic needs. However, it is often difficult to obtain full-seq...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Algorithms
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Deep learning-based coronary artery motion estimation and compensation for short-scan cardiac CT.

Medical physics May 26, 2021
PURPOSE: During a typical cardiac short scan, the heart can move several millimeters. As a result, the corresponding CT reconstructions may be corrupted by motion artifacts. Especially the assessment of small structures, such as the coronary arteries...
Motion Deep Learning Algorithms Coronary Vessels Image Processing, Computer-Assisted Artifacts Tomography, X-Ray Computed Phantoms, Imaging
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Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation.

Medical physics May 25, 2021
PURPOSE: Despite the widespread availability of in-treatment room cone beam computed tomography (CBCT) imaging, due to the lack of reliable segmentation methods, CBCT is only used for gross set up corrections in lung radiotherapies. Accurate and reli...
Humans Deep Learning Lung Neoplasms Cone-Beam Computed Tomography Magnetic Resonance Imaging Image Processing, Computer-Assisted
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A deep learning-based model for characterization of atherosclerotic plaque in coronary arteries using optical coherence tomography  images.

Medical physics May 24, 2021
PURPOSE: Coronary artery events are mainly associated with atherosclerosis in adult population, which is recognized as accumulation of plaques in arterial wall tissues. Optical Coherence Tomography (OCT) is a light-based imaging system used in cardio...
Cross-Sectional Studies Deep Learning Coronary Vessels Tomography, Optical Coherence Humans Plaque, Atherosclerotic Coronary Artery Disease Adult
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Automatic clinical target volume delineation for cervical cancer in CT images using deep learning.

Medical physics May 19, 2021
PURPOSE: Accurately delineating clinical target volumes (CTV) is essential for completing radiotherapy plans but is time-consuming, labor-intensive, and prone to inter-observer variation. Automating CTV delineation has the benefits of both speeding u...
Radiotherapy Planning, Computer-Assisted Uterine Cervical Neoplasms Deep Learning Humans Algorithms Tomography, X-Ray Computed Female Retrospective Studies
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Automated delineation of orbital abscess depicted on CT scan using deep learning.

Medical physics May 16, 2021
OBJECTIVES: To develop and validate a deep learning algorithm to automatically detect and segment an orbital abscess depicted on computed tomography (CT).
Abscess Orbital Cellulitis Deep Learning Child Retrospective Studies Humans Tomography, X-Ray Computed
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Deep-learning-based image registration and automatic segmentation of organs-at-risk in cone-beam CT scans from high-dose radiation treatment of pancreatic cancer.

Medical physics May 14, 2021
PURPOSE: Accurate deformable registration between computed tomography (CT) and cone-beam CT (CBCT) images of pancreatic cancer patients treated with high biologically effective radiation doses is essential to assess changes in organ-at-risk (OAR) loc...
Pancreatic Neoplasms Radiotherapy Planning, Computer-Assisted Retrospective Studies Deep Learning Humans Cone-Beam Computed Tomography Image Processing, Computer-Assisted
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Male pelvic multi-organ segmentation on transrectal ultrasound using anchor-free mask CNN.

Medical physics May 14, 2021
PURPOSE: Current prostate brachytherapy uses transrectal ultrasound images for implant guidance, where contours of the prostate and organs-at-risk are necessary for treatment planning and dose evaluation. This work aims to develop a deep learning-bas...
Humans Neural Networks, Computer Ultrasonography Image Processing, Computer-Assisted Prostate Retrospective Studies Male Pelvis
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