Radiology

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

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Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.

Accurate and automatic organ segmentation from 3D radiological scans is an important yet challenging...

Feb 2018 29427897
Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system.

BACKGROUND AND OBJECTIVE: Automatic detection and classification of the masses in mammograms are sti...

Jan 2018 29477437
Natural Language-based Machine Learning Models for the Annotation of Clinical Radiology Reports.

Purpose To compare different methods for generating features from radiology reports and to develop a...

Jan 2018 29381109
Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm.

In order to automatically identify a set of effective mammographic image features and build an optim...

Jan 2018 29239858
Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study.

OBJECTIVES: We aimed to investigate if lesion-specific ischaemia by invasive fractional flow reserve...

Jan 2018 29352380
Left Atrial Appendage Segmentation Using Fully Convolutional Neural Networks and Modified Three-Dimensional Conditional Random Fields.

Thrombosis has become a global disease threatening human health. The left atrial appendage (LAA) is ...

Jan 2018 29994758
Deep Convolutional Neural Networks for breast cancer screening.

BACKGROUND AND OBJECTIVE: Radiologists often have a hard time classifying mammography mass lesions w...

Jan 2018 29477427
Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxels.

BACKGROUND: Accurate segmentation of brain tumour in magnetic resonance images (MRI) is a difficult ...

Jan 2018 29477436
Using convolutional neural networks to estimate time-of-flight from PET detector waveforms.

Although there have been impressive strides in detector development for time-of-flight positron emis...

Jan 2018 29182151
Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease.

Alzheimer's disease (AD) is a major neurodegenerative disease and the most common cause of dementia....

Jan 2018 29352978
Construction of mammographic examination process ontology using bottom-up hierarchical task analysis.

Describing complex mammography examination processes is important for improving the quality of mammo...

Jan 2018 29322305
Classification of breast cancer in ultrasound imaging using a generic deep learning analysis software: a pilot study.

OBJECTIVE: To train a generic deep learning software (DLS) to classify breast cancer on ultrasound i...

Jan 2018 29215311
Computer-aided assessment of breast density: comparison of supervised deep learning and feature-based statistical learning.

Breast density is one of the most significant factors that is associated with cancer risk. In this s...

Jan 2018 29210358
Robot-guided stereoelectroencephalography without a computed tomography scan for referencing: Analysis of accuracy.

OBJECTIVE: Recent studies with robot-guided stereotaxy use computed tomography (CT) scans for refere...

Jan 2018 29316270
Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods.

The identification of bone lesions is crucial in the diagnostic assessment of multiple myeloma (MM)....

Jan 2018 29531504
Robotic-assisted transradial diagnostic coronary angiography.

Robotic percutaneous coronary interventions have recently been introduced in the cardiac catheteriza...

Jan 2018 29314560
Automated diagnosis of focal liver lesions using bidirectional empirical mode decomposition features.

Liver is the heaviest internal organ of the human body and performs many vital functions. Prolonged ...

Jan 2018 29353161
Computer-aided system for diagnosing thyroid nodules on ultrasound: A comparison with radiologist-based clinical assessments.

BACKGROUND: The purpose of this study was to compare the diagnostic efficiency of a thyroid ultrasou...

Dec 2017 29286180
Novel real-time tumor-contouring method using deep learning to prevent mistracking in X-ray fluoroscopy.

Robustness to obstacles is the most important factor necessary to achieve accurate tumor tracking wi...

Dec 2017 29285686
In Situ Skeletonized Right Internal Mammary Artery Bypass Grafting to Left Anterior Descending Artery.

This study aimed to evaluate the feasibility and the mid-term efficacy of an in situ skeletonized ri...

Dec 2017 29279526
A deep learning method for classifying mammographic breast density categories.

PURPOSE: Mammographic breast density is an established risk marker for breast cancer and is visually...

Dec 2017 29159811
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