Radiology

Radiology

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

14,558 articles

Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 8317-8337 of 14,558 articles

Synthetic CT reconstruction using a deep spatial pyramid convolutional framework for MR-only breast radiotherapy.

PURPOSE: The superior soft-tissue contrast achieved using magnetic resonance imaging (MRI) compared ...

Aug 2019 31309586

Detection of medical text semantic similarity based on convolutional neural network.

BACKGROUND: Imaging examinations, such as ultrasonography, magnetic resonance imaging and computed t...

Aug 2019 31391038

Machine learning applications in prostate cancer magnetic resonance imaging.

With this review, we aimed to provide a synopsis of recently proposed applications of machine learni...

Aug 2019 31392526

A Deep Learning Model to Triage Screening Mammograms: A Simulation Study.

Background Recent deep learning (DL) approaches have shown promise in improving sensitivity but have...

Aug 2019 31385754

Radiomics versus Visual and Histogram-based Assessment to Identify Atheromatous Lesions at Coronary CT Angiography: An ex Vivo Study.

Background Visual and histogram-based assessments of coronary CT angiography have limited accuracy i...

Aug 2019 31385755

Performance of machine learning software to classify breast lesions using BI-RADS radiomic features on ultrasound images.

BACKGROUND: The purpose of this work was to evaluate computable Breast Imaging Reporting and Data Sy...

Aug 2019 31385114

Artificial Intelligence for Drug Toxicity and Safety.

Interventional pharmacology is one of medicine's most potent weapons against disease. These drugs, h...

Aug 2019 31383376

Development and Performance of the Pulmonary Embolism Result Forecast Model (PERFORM) for Computed Tomography Clinical Decision Support.

IMPORTANCE: Pulmonary embolism (PE) is a life-threatening clinical problem, and computed tomographic...

Aug 2019 31390040

Learning-based single-step quantitative susceptibility mapping reconstruction without brain extraction.

Quantitative susceptibility mapping (QSM) estimates the underlying tissue magnetic susceptibility fr...

Aug 2019 31377323

Automated age estimation from MRI volumes of the hand.

Highly relevant for both clinical and legal medicine applications, the established radiological meth...

Jul 2019 31400620

Deep learning-based digital subtraction angiography image generation.

PURPOSE: Digital subtraction angiography (DSA) is a powerful technique for diagnosing cardiovascular...

Jul 2019 31367806

Support Vector Machine Classification of Nonmelanoma Skin Lesions Based on Fluorescence Lifetime Imaging Microscopy.

Early diagnosis of malignant skin lesions is critical for prompt treatment and a clinical prognosis ...

Jul 2019 31314502

Performance of deep learning for differentiating pancreatic diseases on contrast-enhanced magnetic resonance imaging: A preliminary study.

PURPOSE: The purpose of this study was to evaluate the ability of deep learning to differentiate pan...

Jul 2019 31375430

Interpretable, highly accurate brain decoding of subtly distinct brain states from functional MRI using intrinsic functional networks and long short-term memory recurrent neural networks.

Decoding brain functional states underlying cognitive processes from functional MRI (fMRI) data usin...

Jul 2019 31362049

Compressed sensing MRI via a multi-scale dilated residual convolution network.

Magnetic resonance imaging (MRI) reconstruction is an active inverse problem which can be addressed ...

Jul 2019 31362047

Machine learning-based texture analysis for differentiation of large adrenal cortical tumours on CT.

AIM: To compare the efficacy of computed tomography (CT) texture analysis and conventional evaluatio...

Jul 2019 31362884

Artificial intelligence for precision education in radiology.

In the era of personalized medicine, the emphasis of health care is shifting from populations to ind...

Jul 2019 31322909

Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.

PURPOSE: The improved soft tissue contrast of magnetic resonance imaging (MRI) compared to computed ...

Jul 2019 31220353

Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images.

INTRODUCTION: Ovarian tumors are the most common diagnostic challenge for gynecologists and ultrasou...

Jul 2019 31348783

Artificial intelligence in the interpretation of breast cancer on MRI.

Advances in both imaging and computers have led to the rise in the potential use of artificial intel...

Jul 2019 31343790

A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound.

OBJECTIVE: Ultrasound elastography is gaining traction as an accessible and useful diagnostic tool f...

Jul 2019 31352330

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