Radiology

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

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Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition.

Pneumonia is one of the major causes of child mortality, yet with a timely diagnosis, it is usually ...

Dec 2018 30517102
Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals.

Reviewing radiology reports in emergency departments is an essential but laborious task. Timely foll...

Dec 2018 30815095
Performance of convolutional neural networks for identification of bacteria in 3D microscopy datasets.

Three-dimensional microscopy is increasingly prevalent in biology due to the development of techniqu...

Dec 2018 30507940
Technical and clinical overview of deep learning in radiology.

Deep learning has been applied to clinical applications in not only radiology, but also all other ar...

Dec 2018 30506448
Effect of PET-MR Inconsistency in the Kernel Image Reconstruction Method.

Anatomically-driven image reconstruction algorithms have become very popular in positron emission to...

Nov 2018 33134651
Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI.

OBJECTIVE: To investigate the value of machine learning (ML)-based high-dimensional quantitative tex...

Nov 2018 30506213
Robot-assisted intravertebral augmentation corrects local kyphosis more effectively than a conventional fluoroscopy-guided technique.

OBJECTIVEIntravertebral augmentation (IVA) is a reliable minimally invasive technique for treating M...

Nov 2018 30544363
3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis.

Positron emission tomography (PET) has been substantially used recently. To minimize the potential h...

Nov 2018 30507527
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy.

Whole brain segmentation from structural magnetic resonance imaging (MRI) is a prerequisite for most...

Nov 2018 30502445
Improvement of image quality at CT and MRI using deep learning.

Deep learning has been developed by computer scientists. Here, we discuss techniques for improving t...

Nov 2018 30498876
MRI Brain Tumour Segmentation Using Hybrid Clustering and Classification by Back Propagation Algorithm.

Generally the segmentation refers, the partitioning of an image into smaller regions to identify or ...

Nov 2018 30486629
A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography.

Various types of atherosclerotic plaque and varying grades of stenosis could lead to different manag...

Nov 2018 30507498
High quality imaging from sparsely sampled computed tomography data with deep learning and wavelet transform in various domains.

PURPOSE: Sparsely sampled computed tomography (CT) has been attracting attention as a technique that...

Nov 2018 30362117
Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model.

PURPOSE: Due to the low contrast, blurry boundaries, and large amount of shadows in breast ultrasoun...

Nov 2018 30374980
Ultrasound-Assisted Extraction of Cr from Residual Tannery Leather: Feasibility of Ethylenediaminetetraacetic Acid as the Extraction Solution.

In this work, the use of ultrasound energy for chromium removal from residual tannery leather was in...

Nov 2018 31458245
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

BACKGROUND: Magnetic resonance imaging (MRI) of the knee is the preferred method for diagnosing knee...

Nov 2018 30481176
Individual differences in rate of acquiring stable neural representations of tasks in fMRI.

Task-related functional magnetic resonance imaging (fMRI) is a widely-used tool for studying the neu...

Nov 2018 30475812
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.

This paper explores cutting-edge deep learning methods for information extraction from medical imagi...

Nov 2018 30477892
Supervised machine learning quality control for magnetic resonance artifacts in neonatal data sets.

Quality control (QC) of brain magnetic resonance images (MRI) is an important process requiring a si...

Nov 2018 30467922
Artificial intelligence and medical imaging 2018: French Radiology Community white paper.

The rapid development of information technology and data processing capabilities has led to the crea...

Nov 2018 30470627
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