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Radiology of the future- in the press

Home>Radiology of the future- in the press
Radiology of the future- in the pressadmin2020-07-31T07:31:09+00:00
  • Automatic differentiation of color fundus images containing drusen or exudates using a contextual spatial pyramid approach | Feb 2016 | Biomedical Optics Express
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  • Normalizing computed tomography data reconstructed with different filter kernels: effect on emphysema quantification | May 2015 | European Radiology
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In the press

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Goals and Results

GOALS 

Quantitative analysis of medical images plays a substantial role in research and clinical trials. Thirona’s lung quantification software offers analysis of chest CT scans based on artificial intelligence, aiding in the detection, evaluation, and treatment planning of lung diseases. Analysis provided by the software include quantifications of anatomical volumes, disease distributions, airway morphology, vascular morphology, and fissure completeness.

Goal 1: work together

Data from over 300 hospitals worldwide is processed on a daily basis.

Goal 2: work with everyone

Thirona’s quantitative analysis is widely used in scientific research.

Goal 3: work with the universe

We use the latest deep learning techniques.

Analyses

Quirem

Our strong scientific heritage and embedding enable us to continuously innovate using the latest developments in artificial intelligence. Current development areas include bronchiectasis and mucous quantification in Cystic Fibrosis, quantification of the pulmonary arteries and veins, CT-approximated perfusion and ventilation quantification in COPD, detection of interstitial lung disease patterns, and sublobar segmentation.

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