AIMC Journal:
IEEE transactions on medical imaging

Showing 271 to 280 of 687 articles

Scan-Specific Generative Neural Network for MRI Super-Resolution Reconstruction.

IEEE transactions on medical imaging Jun 1, 2022
The interpretation and analysis of Magnetic resonance imaging (MRI) benefit from high spatial resolution. Unfortunately, direct acquisition of high spatial resolution MRI is time-consuming and costly, which increases the potential for motion artifact...
Humans Neural Networks, Computer Brain Radionuclide Imaging Magnetic Resonance Imaging Signal-To-Noise Ratio
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Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation.

IEEE transactions on medical imaging Jun 1, 2022
Deep neural networks are known to be data-driven and label noise can have a marked impact on model performance. Recent studies have shown great robustness to classic image recognition even under a high noisy rate. In medical applications, learning fr...
Noise Radiography Diagnostic Imaging Uncertainty Neural Networks, Computer
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Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training.

IEEE transactions on medical imaging Jun 1, 2022
Deep neural networks have achieved remarkable success in a wide variety of natural image and medical image computing tasks. However, these achievements indispensably rely on accurately annotated training data. If encountering some noisy-labeled image...
Observer Variation Neural Networks, Computer Image Processing, Computer-Assisted Humans
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Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation.

IEEE transactions on medical imaging Jun 1, 2022
Prostate segmentation in transrectal ultrasound (TRUS) image is an essential prerequisite for many prostate-related clinical procedures, which, however, is also a long-standing problem due to the challenges caused by the low image quality and shadow ...
Pelvis Supervised Machine Learning Image Processing, Computer-Assisted Prostate Artifacts Humans Male Ultrasonography
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Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI Registration.

IEEE transactions on medical imaging Jun 1, 2022
In this paper, we present a deep learning method, DDMReg, for accurate registration between diffusion MRI (dMRI) datasets. In dMRI registration, the goal is to spatially align brain anatomical structures while ensuring that local fiber orientations r...
Brain Aged Humans White Matter Diffusion Magnetic Resonance Imaging Adolescent Image Processing, Computer-Assisted Adult Deep Learning
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A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation.

IEEE transactions on medical imaging Jun 1, 2022
In the last years, deep learning has dramatically improved the performances in a variety of medical image analysis applications. Among different types of deep learning models, convolutional neural networks have been among the most successful and they...
Semantics Image Processing, Computer-Assisted Diagnostic Imaging Neural Networks, Computer Deep Learning
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Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks.

IEEE transactions on medical imaging Jun 1, 2022
Ultrasound imaging is a commonly used technology for visualising patient anatomy in real-time during diagnostic and therapeutic procedures. High operator dependency and low reproducibility make ultrasound imaging and interpretation challenging with a...
Humans Reproducibility of Results Ultrasonography Neural Networks, Computer Retrospective Studies
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Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment.

IEEE transactions on medical imaging May 2, 2022
Image regression tasks for medical applications, such as bone mineral density (BMD) estimation and left-ventricular ejection fraction (LVEF) prediction, play an important role in computer-aided disease assessment. Most deep regression methods train t...
Stroke Volume Image Processing, Computer-Assisted Computers Neural Networks, Computer Echocardiography Ventricular Function, Left
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Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification.

IEEE transactions on medical imaging May 2, 2022
Deep convolutional neural network (DCNN) models have been widely explored for skin disease diagnosis and some of them have achieved the diagnostic outcomes comparable or even superior to those of dermatologists. However, broad implementation of DCNN ...
Deep Learning Humans Neural Networks, Computer Skin Diseases Skin Skin Neoplasms
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Deep Learning Based Joint PET Image Reconstruction and Motion Estimation.

IEEE transactions on medical imaging May 2, 2022
Respiratory motion is one of the main sources of motion artifacts in positron emission tomography (PET) imaging. The emission image and patient motion can be estimated simultaneously from respiratory gated data through a joint estimation framework. H...
Artifacts Motion Positron-Emission Tomography Image Processing, Computer-Assisted Algorithms Humans Deep Learning
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