Radiology

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

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Deep learning derived automated ASPECTS on non-contrast CT scans of acute ischemic stroke patients.

Ischemic stroke is the most common type of stroke, ranked as the second leading cause of death world...

Mar 2022 35357053
High relaxivity Gd-based organic nanoparticles for efficient magnetic resonance angiography.

Contrast-enhanced MR angiography (MRA) is a critical technique for vascular imaging. Nevertheless, t...

Mar 2022 35361219
Robust Scatterer Number Density Segmentation of Ultrasound Images.

Quantitative ultrasound (QUS) aims to reveal information about the tissue microstructure using backs...

Mar 2022 35044911
Deep Learning-Based Microbubble Localization for Ultrasound Localization Microscopy.

Ultrasound localization microscopy (ULM) is an emerging vascular imaging technique that overcomes th...

Mar 2022 35171770
Improving Image Quality for Single-Angle Plane Wave Ultrasound Imaging With Convolutional Neural Network Beamformer.

Ultrafast ultrasound imaging based on plane wave (PW) compounding has been proposed for use in vario...

Mar 2022 35175918
Heart and bladder detection and segmentation on FDG PET/CT by deep learning.

PURPOSE: Positron emission tomography (PET)/ computed tomography (CT) has been extensively used to q...

Mar 2022 35354384
Categorized contrast enhanced mammography dataset for diagnostic and artificial intelligence research.

Contrast-enhanced spectral mammography (CESM) is a relatively recent imaging modality with increased...

Mar 2022 35354835
Automated System for Identifying COVID-19 Infections in Computed Tomography Images Using Deep Learning Models.

Coronavirus disease 2019 (COVID-19) is a novel disease that affects healthcare on a global scale and...

Mar 2022 35368962
Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program.

Background Artificial intelligence (AI) has shown promising results for cancer detection with mammog...

Mar 2022 35348377
Automatic MRI segmentation of pectoralis major muscle using deep learning.

To develop and validate a deep convolutional neural network (CNN) method capable of selecting the gr...

Mar 2022 35351924
MR-assisted PET respiratory motion correction using deep-learning based short-scan motion fields.

PURPOSE: We evaluated the impact of PET respiratory motion correction (MoCo) in a phantom and patien...

Mar 2022 35344592
Rethinking the neighborhood information for deep learning-based optical coherence tomography angiography.

PURPOSE: Optical coherence tomography angiography (OCTA) is a premium imaging modality for noninvasi...

Mar 2022 35306668
Deep 3D Neural Network for Brain Structures Segmentation Using Self-Attention Modules in MRI Images.

In recent years, the use of deep learning-based models for developing advanced healthcare systems ha...

Mar 2022 35408173
Ultrasound Lung Image under Artificial Intelligence Algorithm in Diagnosis of Neonatal Respiratory Distress Syndrome.

In order to analyze the application of ultrasonic lung imaging diagnosis model based on artificial i...

Mar 2022 35387221
Dark-Lumen Magnetic Resonance Image Based on Artificial Intelligence Algorithm in Differential Diagnosis of Colon Cancer.

This research was aimed investigate the application value and diagnostic effect of dark-lumen magne...

Mar 2022 35387249
The role of artificial intelligence in paediatric neuroradiology.

Imaging plays a fundamental role in the managing childhood neurologic, neurosurgical and neuro-oncol...

Mar 2022 35347371
Application of Deep Learning in Breast Cancer Imaging.

This review gives an overview of the current state of deep learning research in breast cancer imagin...

Mar 2022 35339259
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.

A key factor for assessing the state of the heart after myocardial infarction (MI) is to measure whe...

Mar 2022 35500498
Development and validation of a deep learning model for detection of breast cancers in mammography from multi-institutional datasets.

OBJECTIVES: The objective of this study was to develop and validate a state-of-the-art, deep learnin...

Mar 2022 35324962
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