x-ray computed tomography

Deep learning to convert unstructured CT pulmonary angiography reports into structured reports

We believe that the possibilities for artificial intelligence (AI) over the coming years will be limited only by our imagination. While there is a tremendous...

John Nance

4 years ago

Deep learning to convert unstructured CT pulmonary angiography reports into structured reports

Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation

The goal of this study was to measure the reproducibility of radiomic features in pancreatic parenchyma and ductal adenocarcinomas in patients who underwent...

Richard Do

4 years ago

Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation

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

This blog aims at bringing educational and critical perspectives on AI to readers. It should help imaging professionals to learn and keep up to date with the technologies being developed in this rapidly evolving field.

Latest posts

Unlocking the Potential of Radiomics: Ongoing Challenges Are Revolving Around Methodology and Reproducibility
Evaluation of techniques to improve a deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging
Multi-channel deep learning model diagnoses the cause of LVH
Evaluating a deep learning software for lung parenchyma characterization in COVID-19 pneumonia
Robustness of pulmonary nodule radiomic features on CT as a function of varying radiation dose levels

Deep learning to convert unstructured CT pulmonary angiography reports into structured reports

Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation

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

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