Radiology

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

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The past, present and future role of artificial intelligence in imaging.

Artificial intelligence (AI) is already widely employed in various medical roles, and ongoing techno...

Jun 2018 30017288
Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors.

Black-blood (BB) imaging is used to complement contrast-enhanced 3D gradient-echo (CE 3D-GRE) imagin...

Jun 2018 29930257
A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.

A computer-aided diagnosis (CAD) system requires detection, segmentation, and classification in one ...

Jun 2018 30032964
Quantitative susceptibility mapping using deep neural network: QSMnet.

Deep neural networks have demonstrated promising potential for the field of medical image reconstruc...

Jun 2018 29894829
Machine-learning in grading of gliomas based on multi-parametric magnetic resonance imaging at 3T.

OBJECTIVE: The objective of this study was to assess the contribution of multi-parametric (mp) magne...

Jun 2018 29933126
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features.

Sub-cortical brain structure segmentation in Magnetic Resonance Images (MRI) has attracted the inter...

Jun 2018 29935442
3D freehand ultrasound without external tracking using deep learning.

This work aims at creating 3D freehand ultrasound reconstructions from 2D probes with image-based tr...

Jun 2018 29936399
Simultaneous single- and multi-contrast super-resolution for brain MRI images based on a convolutional neural network.

In magnetic resonance imaging (MRI), the acquired images are usually not of high enough resolution d...

Jun 2018 29929052
Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy.

Colorectal cancer is the fourth leading cause of cancer deaths worldwide and the second leading caus...

Jun 2018 29990688
Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies.

The breast stromal microenvironment is a pivotal factor in breast cancer development, growth and met...

Jun 2018 29899550
Attenuation correction for brain PET imaging using deep neural network based on Dixon and ZTE MR images.

Positron emission tomography (PET) is a functional imaging modality widely used in neuroscience stud...

Jun 2018 29790857
Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?

Artificial intelligence (AI) is emerging as a technology with the power to transform established ind...

Jun 2018 29907338
Automatic classification of radiological reports for clinical care.

Radiological reporting generates a large amount of free-text clinical narratives, a potentially valu...

Jun 2018 29887337
Classification of Whole Mammogram and Tomosynthesis Images Using Deep Convolutional Neural Networks.

Mammography is the most popular technology used for the early detection of breast cancer. Manual cla...

Jun 2018 29994219
Ischemic stroke lesion segmentation using stacked sparse autoencoder.

Automatic segmentation of ischemic stroke lesion volumes from multi-spectral Magnetic Resonance Imag...

Jun 2018 29883752
A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy.

Targeted prostate biopsy, incorporating multi-parametric magnetic resonance imaging (mp-MRI) and its...

Jun 2018 29886268
Structural brain changes versus self-report: machine-learning classification of chronic fatigue syndrome patients.

Chronic fatigue syndrome (CFS) is a disorder associated with fatigue, pain, and structural/functiona...

May 2018 29846797
Automatic Robotic Steering of Flexible Needles from 3D Ultrasound Images in Phantoms and Ex Vivo Biological Tissue.

Robotic control of needle bending aims at increasing the precision of percutaneous procedures. Ultra...

May 2018 29845413
Using machine-learning approaches to predict non-participation in a nationwide general health check-up scheme.

BACKGROUND: In the time since the launch of a nationwide general health check-up and instruction pro...

May 2018 30119856
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