The ultimate guide to AI in radiology
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How to measure the changing shape of the aging brain?
March 14, 2019 by Ory Six
Both normal aging and neurodegenerative diseases such as Alzheimer’s disease (AD) cause morphological changes of the brain due to neurodegeneration. ...
5 questions to ask exhibitors at the RSNA 2018 Machine Learning Showcase
November 06, 2018 by Ory Six
The Machine Learning showcase at this year’s RSNA promises to be even busier than last year. The amount of exhibiting companies has grown to over 70 ...
Early Signs of Brain Ischemia on CT and MR; Can AI Lend a Helping Hand?
July 26, 2018 by Ory Six
A poor functional outcome of stroke patients may be predicted by early signs on CT and MRI. Radiology exams carried out within 6 hours after stroke ...
Deep learning: its potential and challenges in radiology AI
June 26, 2018 by Jorrit Glastra
Up to a few years ago conventional image analysis was based on the careful handcrafting of features by humans that captured the relevant aspects of ...
3 Reasons why radiomics can revolutionize brain tumor diagnosis and prognosis
June 04, 2018 by Ory Six
The field of radiomics covers a range of methods aimed at the extraction of quantitative features from medical images, and linking these features to ...
How to make radiology AI cope with different scanners and settings?
May 02, 2018 by Annegreet van Opbroek
Segmentation of MRI and CT images into the available tissues and structures plays a crucial role in quantification, both in medical research and ...
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