AIMC Journal:
Medical physics

Showing 421 to 430 of 732 articles

Training deep-learning segmentation models from severely limited data.

Medical physics Feb 19, 2021
PURPOSE: To enable generation of high-quality deep learning segmentation models from severely limited contoured cases (e.g., ~10 cases).
Humans Neural Networks, Computer Image Processing, Computer-Assisted Head and Neck Neoplasms Tomography, X-Ray Computed Deep Learning
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Technical Note: An embedding-based medical note de-identification approach with sparse annotation.

Medical physics Feb 12, 2021
PURPOSE: Medical note de-identification is critical for the protection of private information and the security of data sharing in collaborative research. The task demands the complete removal of all patient names and other sensitive information such ...
Natural Language Processing Data Anonymization Electronic Health Records Sensitivity and Specificity Humans
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Toward data-efficient learning: A benchmark for COVID-19 CT lung and infection segmentation.

Medical physics Feb 6, 2021
PURPOSE: Accurate segmentation of lung and infection in COVID-19 computed tomography (CT) scans plays an important role in the quantitative management of patients. Most of the existing studies are based on large and private annotated datasets that ar...
Lung Image Processing, Computer-Assisted Benchmarking Humans COVID-19 Machine Learning Tomography, X-Ray Computed
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Sub-2 mm depth of interaction localization in PET detectors with prismatoid light guide arrays and single-ended readout using convolutional neural networks.

Medical physics Feb 2, 2021
PURPOSE: Depth of interaction (DOI) readout in PET imaging has been researched in efforts to mitigate parallax error, which would enable the development of small diameter, high-resolution PET scanners. However, DOI PET has not yet been commercialized...
Algorithms Humans Tomography, X-Ray Computed Positron-Emission Tomography Neural Networks, Computer
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Machine learning and registration for automatic seed localization in 3D US images for prostate brachytherapy.

Medical physics Jan 28, 2021
PURPOSE: New radiation therapy protocols, in particular adaptive, focal or boost brachytherapy treatments, require determining precisely the position and orientation of the implanted radioactive seeds from real-time ultrasound (US) images. This is ne...
Prostatic Neoplasms Male Phantoms, Imaging Brachytherapy Humans Bayes Theorem Machine Learning
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Systematic method for a deep learning-based prediction model for gamma evaluation in patient-specific quality assurance of volumetric modulated arc therapy.

Medical physics Jan 28, 2021
PURPOSE: This study aimed to develop and evaluate a novel strategy for establishing a deep learning-based gamma passing rate (GPR) prediction model for volumetric modulated arc therapy (VMAT) using dummy target plan data, one measurement process, and...
Gamma Rays Radiotherapy Dosage Deep Learning Radiotherapy, Intensity-Modulated Humans Radiotherapy Planning, Computer-Assisted Neural Networks, Computer
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Detecting MLC modeling errors using radiomics-based machine learning in patient-specific QA with an EPID for intensity-modulated radiation therapy.

Medical physics Jan 27, 2021
PURPOSE: We sought to develop machine learning models to detect multileaf collimator (MLC) modeling errors with the use of radiomic features of fluence maps measured in patient-specific quality assurance (QA) for intensity-modulated radiation therapy...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Machine Learning Humans Radiometry Radiotherapy Planning, Computer-Assisted Gamma Rays
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Improving clinical disease subtyping and future events prediction through a chest CT-based deep learning approach.

Medical physics Jan 27, 2021
PURPOSE: To develop and evaluate a deep learning (DL) approach to extract rich information from high-resolution computed tomography (HRCT) of patients with chronic obstructive pulmonary disease (COPD).
Predictive Value of Tests Pulmonary Emphysema Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Severity of Illness Index Deep Learning Humans
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Robotic MLC-based plans: A study of plan complexity.

Medical physics Jan 21, 2021
PURPOSE: The utility of complexity metrics has been assessed for IMRT and VMAT treatment plans, but this analysis has never been performed for CyberKnife (CK) plans. The purpose of this study is to perform a complexity analysis of CK MLC plans, adapt...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Male Robotics Robotic Surgical Procedures Radiotherapy Planning, Computer-Assisted Humans Algorithms
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SAP-cGAN: Adversarial learning for breast mass segmentation in digital mammogram based on superpixel average pooling.

Medical physics Jan 10, 2021
PURPOSE: Breast mass segmentation is a prerequisite step in the use of computer-aided tools designed for breast cancer diagnosis and treatment planning. However, mass segmentation remains challenging due to the low contrast, irregular shapes, and fuz...
Humans Breast Neoplasms Deep Learning Breast Image Processing, Computer-Assisted Mammography
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