AIMC Journal:
Medical physics

Showing 251 to 260 of 732 articles

A novel adaptive cubic quasi-Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup.

Medical physics Oct 6, 2022
BACKGROUND: Most of existing deep learning research in medical image analysis is focused on networks with stronger performance. These networks have achieved success, while their architectures are complex and even contain massive parameters ranging fr...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Optic Disk COVID-19 Lung
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An uncertainty-aware deep learning architecture with outlier mitigation for prostate gland segmentation in radiotherapy treatment planning.

Medical physics Sep 28, 2022
PURPOSE: Task automation is essential for efficient and consistent image segmentation in radiation oncology. We report on a deep learning architecture, comprising a U-Net and a variational autoencoder (VAE) for automatic contouring of the prostate gl...
Humans Radiotherapy Planning, Computer-Assisted Uncertainty Male Image Processing, Computer-Assisted Deep Learning Prostate
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DuDoSS: Deep-learning-based dual-domain sinogram synthesis from sparsely sampled projections of cardiac SPECT.

Medical physics Sep 28, 2022
PURPOSE: Myocardial perfusion imaging (MPI) using single-photon emission-computed tomography (SPECT) is widely applied for the diagnosis of cardiovascular diseases. In clinical practice, the long scanning procedures and acquisition time might induce ...
Animals Humans Deep Learning Tomography, Emission-Computed, Single-Photon Image Processing, Computer-Assisted Tomography, X-Ray Computed Hominidae Heart
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Auto-segmentation of important centers of growth in the pediatric skeleton to consider during radiation therapy based on deep learning.

Medical physics Sep 23, 2022
BACKGROUND: Routinely delineating of important skeletal growth centers is imperative to mitigate radiation-induced growth abnormalities for pediatric cancer patients treated with radiotherapy. However, it is hindered by several practical problems, in...
Radiotherapy Planning, Computer-Assisted Bone and Bones Radiation Oncology Organs at Risk Tomography, X-Ray Computed Deep Learning Child Image Processing, Computer-Assisted Humans
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Deterministic small-scale undulations of image-based risk predictions from the deep learning of lung tumors in motion.

Medical physics Sep 23, 2022
INTRODUCTION: Deep learning (DL) models that use medical images to predict clinical outcomes are poised for clinical translation. For tumors that reside in organs that move, however, the impact of motion (i.e., degenerated object appearance or blur) ...
Lung Neoplasms Humans Deep Learning
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Technical note: Rapid and high-resolution deep learning-based radiopharmaceutical imaging with 3D-CZT Compton camera and sparse projection data.

Medical physics Sep 19, 2022
BACKGROUND: The Compton camera (CC) has great potential in nuclear medicine imaging due to the high detection efficiency and the ability to simultaneously detect multi-energy radioactive sources. However, the finite resolution of the detectors will d...
Tellurium Radiopharmaceuticals Animals Deep Learning Mice
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Comparative assessment of noise properties for two deep learning CT image reconstruction techniques and filtered back projection.

Medical physics Sep 12, 2022
BACKGROUND: Two deep learning image reconstruction (DLIR) techniques from two different computed tomography (CT) vendors have recently been introduced into clinical practice.
Deep Learning Iodine Phantoms, Imaging Radiographic Image Interpretation, Computer-Assisted Water Radiation Dosage Image Processing, Computer-Assisted Algorithms Tomography, X-Ray Computed
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Automated segmentation of five different body tissues on computed tomography using deep learning.

Medical physics Sep 2, 2022
PURPOSE: To develop and validate a computer tool for automatic and simultaneous segmentation of five body tissues depicted on computed tomography (CT) scans: visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), intermuscular adipose tiss...
Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer Adipose Tissue Subcutaneous Fat
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Deep learning-based segmentation in prostate radiation therapy using Monte Carlo simulated cone-beam computed tomography.

Medical physics Aug 31, 2022
PURPOSE: Segmenting organs in cone-beam CT (CBCT) images would allow to adapt the radiotherapy based on the organ deformations that may occur between treatment fractions. However, this is a difficult task because of the relative lack of contrast in C...
Prostate Deep Learning Humans Cone-Beam Computed Tomography Male
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Artificial intelligence in multiparametric magnetic resonance imaging: A review.

Medical physics Aug 31, 2022
Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the clinical workflow for the diagnosis and treatment planning of various diseases. Machine learning-based artificial intelligence (AI) methods, especially those adopting ...
Magnetic Resonance Spectroscopy Reproducibility of Results Magnetic Resonance Imaging Humans Artificial Intelligence Machine Learning
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