machine learning

AI-assisted education for rads: challenges and promises

- 2 min readThe first meeting of the European Society of Radiology (ESR) dedicated to Artificial Intelligence (AI) gathered a large panel of delegates from...

Melisande Rouger

2 weeks ago

Machine learning classifiers vs. Experienced radiologists: Predicting Gleason pattern 4 prostate cancer

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

European Radiology

3 weeks ago

Data control with AI: who’s in charge?

- 4 min readWith the increased use of artificial intelligence (AI) in every segment of life including healthcare, patient data is being collected massively...

Melisande Rouger

4 weeks ago

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...

European Radiology Experimental

1 month ago

AI guru gives a glimpse into the future of radiology with AI

- 3 min readWith the advent of Artificial Intelligence, new opportunities will arise for radiologists if they remain focused and critical, ‘rock star of the...

Melisande Rouger

1 month ago

Artificial intelligence in abdominal imaging at the 30th annual meeting of ESGAR 2019 in Rome, Italy

- 3 min readThis week, the European Society of Gastrointestinal and Abdominal Radiology (ESGAR) will head to Rome, Italy, where they will host the ESGAR 2019...

ESR

1 month ago

Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs

- 2 min readIn this study, we developed the DCNN not only for the automated detection of hip fractures on frontal pelvic radiographs but also to offer...

Chien-Hung Liao, Chi-Tung Cheng

1 month ago

Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

- 1 min readDeep learning reconstruction (DLR) is a novel method of reconstruction that introduces deep convolutional neural networks into the reconstruction...

European Radiology

2 months ago

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

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

Reza Forghani

2 months ago

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

- 2 min readRadiomic workflows include various challenging steps. One of the most demanding steps in radiomics is the segmentation process. Particularly for...

Burak Kocak

3 months ago