European Radiology Experimental

Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

- 1 min readThe authors of this study recognized the potential of multiparametric positron emission tomography/magnetic resonance imaging (mpPET/MRI) for...

1 month ago

Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

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

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

European Radiology Experimental

4 months ago

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

Is there a future for deep learning-based generative models in musculoskeletal radiology?

- 1 min readThis article sought to investigate the potential of generative models in the field of MRI of the spine, and did so by performing clinically...

European Radiology Experimental

4 months ago

Is there a future for deep learning-based generative models in musculoskeletal radiology?

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

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

European Radiology Experimental

4 months ago

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

Using a multiple classifier system for lesion detection and classification in breast MRI analysis

- 1 min readIn breast magnetic resonance imaging (MRI) analysis for lesion detection and classification, radiologists agree that both morphological and...

European Radiology Experimental

5 months ago

Using a multiple classifier system for lesion detection and classification in breast MRI analysis

Radiomics of liver MRI predict metastases in mice

- 1 min readThis study aimed to investigate whether any texture features show a correlation with intrahepatic tumor growth before the metastasis is visible to...

European Radiology Experimental

5 months ago

Radiomics of liver MRI predict metastases in mice

Comparing computer- and human-extracted imaging phenotypes

- 1 min readThis retrospective study sought to investigate if computer-extracted magnetic resonance imaging (MRI) phenotypes of breast cancer could...

European Radiology Experimental

5 months ago

European Radiology Experimental

Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

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

Is there a future for deep learning-based generative models in musculoskeletal radiology?

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

Using a multiple classifier system for lesion detection and classification in breast MRI analysis

Radiomics of liver MRI predict metastases in mice

Comparing computer- and human-extracted imaging phenotypes

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

Latest posts

Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

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

Is there a future for deep learning-based generative models in musculoskeletal radiology?

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

Using a multiple classifier system for lesion detection and classification in breast MRI analysis

Radiomics of liver MRI predict metastases in mice

Comparing computer- and human-extracted imaging phenotypes

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

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