Radiology

Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

14,558 articles

Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 8212-8232 of 14,558 articles

The Current State of Artificial Intelligence in Medical Imaging and Nuclear Medicine.

The last decade has seen a huge surge in interest surrounding artificial intelligence (AI). AI has b...

Oct 2019 33178956

An expert system for brain tumor detection: Fuzzy C-means with super resolution and convolutional neural network with extreme learning machine.

Super-resolution, which is one of the trend issues of recent times, increases the resolution of the ...

Oct 2019 31634769

Deep morphology aided diagnosis network for segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black-blood vessel wall MRI.

PURPOSE: Early detection of carotid atherosclerosis on the vessel wall (VW) magnetic resonance imagi...

Oct 2019 31356693

A New Multimodel Machine Learning Framework to Improve Hepatic Fibrosis Grading Using Ultrasound Elastography Systems from Different Vendors.

The purpose of the work described here was to determine if the diagnostic performance of point and 2...

Oct 2019 31611074

The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns.

The quantization error in a fixed-size Self-Organizing Map (SOM) with unsupervised winner-take-all l...

Oct 2019 31610898

An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders.

BACKGROUND: The analysis of health and medical data is crucial for improving the diagnosis precision...

Oct 2019 31601182

Convolutional neural networks for multi-class brain disease detection using MRI images.

The brain disorders may cause loss of some critical functions such as thinking, speech, and movement...

Oct 2019 31635910

Evaluation of an Artificial Intelligence-Based 3D-Angiography for Visualization of Cerebral Vasculature.

PURPOSE: The three-dimensional digital subtraction angiography (3D DSA) technique is the current sta...

Oct 2019 31598760

Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks.

The use of Computed Tomography (CT) imaging for patients with stroke symptoms is an essential step f...

Oct 2019 31629272

Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment.

Background Men suspected of having clinically significant prostate cancer (sPC) increasingly undergo...

Oct 2019 31592731

A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head.

Optical coherence tomography (OCT) has become an established clinical routine for the in vivo imagin...

Oct 2019 31595006

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.

We present a deep convolutional neural network for breast cancer screening exam classification, trai...

Oct 2019 31603772

CR-Unet: A Composite Network for Ovary and Follicle Segmentation in Ultrasound Images.

Transvaginal ultrasound (TVUS) is widely used in infertility treatment. The size and shape of the ov...

Oct 2019 31603808

Machine learning in cardiovascular magnetic resonance: basic concepts and applications.

Machine learning (ML) is making a dramatic impact on cardiovascular magnetic resonance (CMR) in many...

Oct 2019 31590664

Independent brain F-FDG PET attenuation correction using a deep learning approach with Generative Adversarial Networks.

OBJECTIVE: Attenuation correction (AC) of positron emission tomography (PET) data poses a challenge ...

Oct 2019 31587027

Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction.

One of the main technical challenges of PET/MRI is to achieve an accurate PET attenuation correction...

Oct 2019 31589623

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