CNN

Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images

The authors of this study aimed to assess the performance of a convolutional neural network (CNN) algorithm to register cross-sectional liver imaging series...

European Radiology Experimental

4 years ago

Lost track of follow-up recommendations? Maybe AI could help you

By now, everybody knows that AI-based systems achieve impressive results in image analysis. But a recent blog post asked the question of what the next true...

Daniel Pinto dos Santos

4 years ago

Webinar on current status and future directions of AI in oncologic imaging

At the end of this month, the European Society of Oncologic Imaging (ESOI) and the European Society of Medical Imaging Informatics (EuSoMII) will host a joint...

ESR

4 years ago

AI power is real but muzzled by lack of data sharing and standardization

AI adds a new dimension to brain and abdominal imaging in a number of clinical scenarios, but lack of data sharing as well as reproducibility and...

Melisande Rouger

4 years ago

Taking artificial intelligence out of the black box: An “interpretable” deep learning system for liver tumour diagnosis

Convolutional neural networks (CNN) have demonstrated the potential to become effective and accurate decision support tools for radiologists. A major barrier...

European Radiology

4 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

4 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

4 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

4 years ago  - 5 minutes read