machine learning

Using machine learning to predict cervical lymph node metastasis on dual-energy CT

In this article, we extracted “hand-crafted” radiomic features from dual-energy CT (DECT) virtual monochromatic images (VMIs) reconstructed at different...

Reza Forghani

3 years ago

How machine learning-based high-dimensional CT texture analysis is influenced by segmentation margin

Radiomic workflows include various challenging steps. One of the most demanding steps in radiomics is the segmentation process. Particularly for the renal...

Burak Kocak

3 years ago

Strategic research agenda for biomedical imaging

Over the last years, medicine has been moving further towards providing a more tailored, patient-centric approach by taking into account as much information...

Daniel Pinto dos Santos

3 years ago

Applying 3D CNN to CTA source images to detect ischemic stroke

In this study, the authors investigated how feasible it was to use 3D convolutional neural networks (CNN) to detect ischemic stroke from computed tomography...

European Radiology Experimental

3 years ago

Using deep learning to detect and segment meningiomas

These days, selling a medical product or software solution without bringing up ‘artificial intelligence’ seems to be an almost impossible task. Hence, a...

Kai Roman Laukamp

3 years ago

Should AI be seen as a threat or an opportunity in medical imaging?

The aim of this narrative review is to take a broader look at the application of Artificial Intelligence (AI), primarily in medical imaging. The authors...

European Radiology Experimental

3 years ago

The Rise of Augmented Radiology as an enabler to achieve Precision Health

The field of medical imaging has witnessed a revolution thanks to the digital transformation, innovation and availability of advanced clinical applications....

ECR 2019 AIX

3 years ago

Convolutional neural networks: an overview and application in radiology

Numerous domains, including radiology, have shown interest in convolutional neural network (CNN) – a class of artificial neural networks that has become...

Insights into Imaging

3 years ago  - 5 minutes read

Big data, artificial intelligence, and structured reporting

Imagine you wanted to teach a baby to differentiate a ball from a dog. How would you do that? Intuitively it would make sense to repeatedly point at them...

Daniel Pinto dos Santos

3 years ago

How will Artificial Intelligence impact the field of radiology?

The topic of artificial intelligence (AI) has become one of the main points of discussion in the field of radiology and medicine. Through discussions on...

European Radiology

3 years ago