Radiology

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

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Deep reconstruction model for dynamic PET images.

Accurate and robust tomographic reconstruction from dynamic positron emission tomography (PET) acqui...

Sep 2017 28934254
Artificial intelligence for breast cancer screening: Opportunity or hype?

Interpretation of mammography for breast cancer (BC) screening can confer a mortality benefit throug...

Sep 2017 28938172
A sonographic investigation for the development of ultrasound-guided paravertebral brachial plexus block in dogs: cadaveric study.

OBJECTIVE: To describe a novel in-plane ultrasound (US)-guided approach to the sixth (C6), seventh (...

Sep 2017 29398529
Robotics in percutaneous cardiovascular interventions.

The fundamental technique of performing percutaneous cardiovascular (CV) interventions has remained ...

Sep 2017 28914558
A deep learning framework for supporting the classification of breast lesions in ultrasound images.

In this research, we exploited the deep learning framework to differentiate the distinctive types of...

Sep 2017 28753132
Head and Neck Cancer Tumor Segmentation Using Support Vector Machine in Dynamic Contrast-Enhanced MRI.

OBJECTIVE: We aimed to propose an automatic method based on Support Vector Machine (SVM) and Dynamic...

Sep 2017 29114180
Automatic Categorization and Scoring of Solid, Part-Solid and Non-Solid Pulmonary Nodules in CT Images with Convolutional Neural Network.

We present a computer-aided diagnosis system (CADx) for the automatic categorization of solid, part-...

Sep 2017 28864824
Phase contrast cell detection using multilevel classification.

In this paper, we propose a fully automated learning-based approach for detecting cells in time-laps...

Aug 2017 28755437
Brain tumor segmentation using holistically nested neural networks in MRI images.

PURPOSE: Gliomas are rapidly progressive, neurologically devastating, largely fatal brain tumors. Ma...

Aug 2017 28736864
Artificial Intelligence: Threat or Boon to Radiologists?

The development and integration of machine learning/artificial intelligence into routine clinical pr...

Aug 2017 28826960
Automatic detection of hemorrhagic pericardial effusion on PMCT using deep learning - a feasibility study.

Post mortem computed tomography (PMCT) can be used as a triage tool to better identify cases with a ...

Aug 2017 28819715
An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement.

This paper presents an open, multi-vendor, multi-field strength magnetic resonance (MR) T1-weighted ...

Aug 2017 28807870
Robotic technology in interventional cardiology: Current status and future perspectives.

Robotic technology has been utilized in cardiovascular medicine for over a decade, and over that per...

Aug 2017 28795481
Please Don't Move-Evaluating Motion Artifact From Peripheral Quantitative Computed Tomography Scans Using Textural Features.

Most imaging methods, including peripheral quantitative computed tomography (pQCT), are susceptible ...

Aug 2017 28801168
Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks.

Breast lesion detection using ultrasound imaging is considered an important step of computer-aided d...

Aug 2017 28796627
Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences.

Dynamic contrast-enhanced MRI (DCE-MRI) is an imaging protocol where MRI scans are acquired repetiti...

Aug 2017 28802145
Machine Learning of Functional Magnetic Resonance Imaging Network Connectivity Predicts Substance Abuse Treatment Completion.

BACKGROUND: Successfully treating illicit drug use has become paramount, yet elusive. Devising speci...

Aug 2017 29529409
Framework for detection and localization of coronary non-calcified plaques in cardiac CTA using mean radial profiles.

BACKGROUND AND OBJECTIVE: The high mortality rate associated with coronary heart disease (CHD) has d...

Aug 2017 28797740
Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks.

PURPOSE: Delineation of thyroid nodule boundaries from ultrasound images plays an important role in ...

Jul 2017 28762196
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