Radiology

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

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Artificial intelligence in mammographic phenotyping of breast cancer risk: a narrative review.

BACKGROUND: Improved breast cancer risk assessment models are needed to enable personalized screenin...

Feb 2022 35184757
Segmentation of metastatic cervical lymph nodes from CT images of oral cancers using deep-learning technology.

OBJECTIVE: The purpose of this study was to establish a deep-learning model for segmenting the cervi...

Feb 2022 35113725
A few-shot U-Net deep learning model for lung cancer lesion segmentation via PET/CT imaging.

Over the past few years, positron emission tomography/computed tomography (PET/CT) imaging for compu...

Feb 2022 35144242
Application of Deep Learning Technology in Glioma.

A common and most basic brain tumor is glioma that is exceptionally dangerous to health of various p...

Feb 2022 35222894
A back-projection-and-filtering-like (BPF-like) reconstruction method with the deep learning filtration from listmode data in TOF-PET.

PURPOSE: The time-of-flight (TOF) information improves signal-to-noise ratio (SNR) for positron emis...

Feb 2022 35122265
Assessment and validation of a novel fast fully automated artificial intelligence left ventricular ejection fraction quantification software.

BACKGROUND: Quantification of left ventricular ejection fraction (LVEF) by transthoracic echocardiog...

Feb 2022 35178746
Deep learning fetal ultrasound video model match human observers in biometric measurements.

This work investigates the use of deep convolutional neural networks (CNN) to automatically perform ...

Feb 2022 35051921
A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers.

Within the next 1.5 decades, 1 in 7 U.S. adults is anticipated to suffer from age-related macular de...

Feb 2022 35173191
A technical guide to robotic catheter angiography with the Corindus CorPath GRX system.

Robotic catheter angiography is an emerging technology with the opportunity to increase procedural p...

Feb 2022 35169034
Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist.

BACKGROUND: Background parenchymal enhancement (BPE) is assessed on breast MRI reports as mandated b...

Feb 2022 35167152
ArtifactID: Identifying artifacts in low-field MRI of the brain using deep learning.

Low-field MR scanners are more accessible in resource-constrained settings where skilled personnel a...

Feb 2022 35176447
ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images.

As an effective way of routine prenatal diagnosis, ultrasound (US) imaging has been widely used rece...

Feb 2022 35241260
Speeding up reconstruction of 3D tomograms in holographic flow cytometry deep learning.

Tomographic flow cytometry by digital holography is an emerging imaging modality capable of collecti...

Feb 2022 35076055
Improving robustness of automatic cardiac function quantification from cine magnetic resonance imaging using synthetic image data.

Although having been the subject of intense research over the years, cardiac function quantification...

Feb 2022 35165324
High-Frequency Ultrasound Dataset for Deep Learning-Based Image Quality Assessment.

This study aims at high-frequency ultrasound image quality assessment for computer-aided diagnosis o...

Feb 2022 35214381
Deep learning models for triaging hospital head MRI examinations.

The growing demand for head magnetic resonance imaging (MRI) examinations, along with a global short...

Feb 2022 35183876
An efficient magnetic resonance image data quality screening dashboard.

PURPOSE: Complex data processing and curation for artificial intelligence applications rely on high-...

Feb 2022 35148034
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