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Showing 8107-8127 of 14,558 articles

A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease.

Alzheimer's disease (AD) is a progressive and irreversible brain degenerative disorder. Mild cogniti...

Dec 2019 31837471

Classification of Mammogram Images Using Multiscale all Convolutional Neural Network (MA-CNN).

Breast cancer is one of the leading causes of cancer death among women in worldwide. Early diagnosis...

Dec 2019 31838610

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation.

The state-of-the-art models for medical image segmentation are variants of U-Net and fully convoluti...

Dec 2019 31841402

Development of a robot-assisted ultrasound-guided radiation therapy (USgRT).

PURPOSE: Radiation treatment is improved by the use of image-guided workflows. This work pursues the...

Dec 2019 31832907

Feasibility study for use of angiographic parametric imaging and deep neural networks for intracranial aneurysm occlusion prediction.

BACKGROUND: Angiographic parametric imaging (API), based on digital subtraction angiography (DSA), i...

Dec 2019 31822594

Comparison of Initial Experience with Transrectal Magnetic Resonance Imaging Cognitive Guided Micro-Ultrasound Biopsies versus Established Transperineal Robotic Ultrasound Magnetic Resonance Imaging Fusion Biopsies for Prostate Cancer.

PURPOSE: We compared cancer detection rates in patients who underwent magnetic resonance imaging cog...

Dec 2019 31821099

Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT: impact of image reconstructions on diagnostic performance.

OBJECTIVES: To evaluate the diagnostic performance of a deep learning algorithm for automated detect...

Dec 2019 31822970

Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma.

PURPOSE: Extranodal extension (ENE) is a well-established poor prognosticator and an indication for ...

Dec 2019 31815574

Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies.

In conventional non-quantitative magnetic resonance imaging, image contrast is consistent within ima...

Dec 2019 31821865

A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images.

Automatic identification of brain lesions from magnetic resonance imaging (MRI) scans of stroke surv...

Dec 2019 31865021

Fast fully automatic heart fat segmentation in computed tomography datasets.

Heart diseases affect a large part of the world's population. Studies have shown that these diseases...

Dec 2019 31884225

Deep segmentation leverages geometric pose estimation in computer-aided total knee arthroplasty.

Knee arthritis is a common joint disease that usually requires a total knee arthroplasty. There are ...

Dec 2019 32038862

CNN-based PET sinogram repair to mitigate defective block detectors.

Positron emission tomography (PET) scanners continue to increase sensitivity and axial coverage by a...

Dec 2019 31569075

Design and Integration of a Parallel, Soft Robotic End-Effector for Extracorporeal Ultrasound.

OBJECTIVE: In this work we address limitations in state-of-the-art ultrasound robots by designing an...

Dec 2019 31804926

Twin Robotic X-Ray System for 3D Cone-Beam CT of the Wrist: An Evaluation of Image Quality and Radiation Dose.

The purpose of this study was to assess image quality and radiation dose of a novel twin robotic x-...

Dec 2019 31799871

Deep learning-based virtual noncontrast CT for volumetric modulated arc therapy planning: Comparison with a dual-energy CT-based approach.

PURPOSE: The aim of this study was to develop a deep learning (DL) method for generating virtual non...

Dec 2019 31733105

Browse Categories

A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease.

Classification of Mammogram Images Using Multiscale all Convolutional Neural Network (MA-CNN).

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation.

Development of a robot-assisted ultrasound-guided radiation therapy (USgRT).

Feasibility study for use of angiographic parametric imaging and deep neural networks for intracranial aneurysm occlusion prediction.

Comparison of Initial Experience with Transrectal Magnetic Resonance Imaging Cognitive Guided Micro-Ultrasound Biopsies versus Established Transperineal Robotic Ultrasound Magnetic Resonance Imaging Fusion Biopsies for Prostate Cancer.

Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT: impact of image reconstructions on diagnostic performance.

Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma.

Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies.

A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images.

Fast fully automatic heart fat segmentation in computed tomography datasets.

Deep segmentation leverages geometric pose estimation in computer-aided total knee arthroplasty.

CNN-based PET sinogram repair to mitigate defective block detectors.

Design and Integration of a Parallel, Soft Robotic End-Effector for Extracorporeal Ultrasound.

Twin Robotic X-Ray System for 3D Cone-Beam CT of the Wrist: An Evaluation of Image Quality and Radiation Dose.

Deep learning-based virtual noncontrast CT for volumetric modulated arc therapy planning: Comparison with a dual-energy CT-based approach.

CT prostate segmentation based on synthetic MRI-aided deep attention fully convolution network.

Computer-Aided Diagnosis of Multiple Sclerosis Using a Support Vector Machine and Optical Coherence Tomography Features.

A fluoroscopic assessment of brachial plexus block by the supraclavicular approach: Have we been overmedicating?

Liver tumor segmentation based on 3D convolutional neural network with dual scale.

Disentangling brain functional network remodeling in corticobasal syndrome - A multimodal MRI study.

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