Radiology

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

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Showing 12055-12075 of 14,716 articles
Differentiation of Intrahepatic Cholangiocarcinoma and Hepatic Lymphoma Based on Radiomics and Machine Learning in Contrast-Enhanced Computer Tomography.

This study aimed to explore the ability of texture parameters combining with machine learning metho...

Jan 2021 34499018
Monte Carlo Dose Calculation Using MRI Based Synthetic CT Generated by Fully Convolutional Neural Network for Gamma Knife Radiosurgery.

The aim of this work is to study the dosimetric effect from generated synthetic computed tomography ...

Jan 2021 34632872
[Automatic Quantification of Breast Density from Mammography Using Deep Learning].

BACKGROUND: In the field of breast screening using mammography, announcing to the examinees whether ...

Jan 2021 34670923
New prostate MRI techniques and sequences.

Prostate MRI has seen increasing interest in recent years and has led to the development of new MRI ...

Dec 2020 32248259
A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports.

The aim of this study is to develop an automated classification method for Brain Tumor Reporting and...

Dec 2020 32495125
State-of-the-Art Traditional to the Machine- and Deep-Learning-Based Skull Stripping Techniques, Models, and Algorithms.

Several neuroimaging processing applications consider skull stripping as a crucial pre-processing st...

Dec 2020 32666364
[Computed tomography or cardiovascular magnetic resonance imaging for diagnosis of chronic coronary syndrome?].

BACKGROUND: Noninvasive imaging modalities are of central importance in the diagnosis of chronic cor...

Dec 2020 33125515
Image quality improvement of single-shot turbo spin-echo magnetic resonance imaging of female pelvis using a convolutional neural network.

We have developed a deep learning-based approach to improve image quality of single-shot turbo spin-...

Nov 2020 33217817
Artificial intelligence in medical imaging: A radiomic guide to precision phenotyping of cardiovascular disease.

Rapid technological advances in non-invasive imaging, coupled with the availability of large data se...

Nov 2020 32090243
Review of Natural Language Processing in Radiology.

Natural language processing (NLP) is an interdisciplinary field, combining linguistics, computer sci...

Nov 2020 33038995
Artificial Intelligence Applications for Workflow, Process Optimization and Predictive Analytics.

There is great potential for artificial intelligence (AI) applications, especially machine learning ...

Nov 2020 33039002
Precision medicine and artificial intelligence: overview and relevance to reproductive medicine.

Traditionally, new treatments have been developed for the population at large. Recently, large-scale...

Nov 2020 33160512
Computed Tomography Image Reconstruction.

Filtered back projection was used in computed tomography (CT) but produced low-dose CT images that w...

Nov 2020 33203780
[Application and prospects of hyperspectral imaging and deep learning in traditional Chinese medicine in context of AI and industry 4.0].

In the 21 st century, the rise of artificial intelligence(AI) marks the arrival of the intelligence ...

Nov 2020 33350203
Using deep-learning algorithms to classify fetal brain ultrasound images as normal or abnormal.

OBJECTIVES: To evaluate the feasibility of using deep-learning algorithms to classify as normal or a...

Oct 2020 31909548
Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology.

Artificial intelligence (AI) uses data and algorithms to aim to draw conclusions that are as good as...

Oct 2020 32530098
Nodule Localization in Thyroid Ultrasound Images with a Joint-Training Convolutional Neural Network.

The accurate localization of nodules in ultrasound images can convey crucial information to support ...

Oct 2020 32607907
Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study.

In this work, we assess how pre-training strategy affects deep learning performance for the task of ...

Oct 2020 32607908
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