REAL-TIME ESTIMATION OF LOCAL CARDIAC TISSUE PROPERTIES AND UNCERTAINTIES BASED ON IMAGING AND ELECTRO-ANATOMICAL MAPS

Systems and methods for automatically detecting a disease in medical images are provided. Input medical images are received. A plurality of metrics for a disease is computed for each of the input medical images. The input medical images are clustered into a plurality of clusters based on one or more...

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Bibliographic Details
Main Authors Meister, Felix, Lluch Alvarez, Eric, Audigier, Chloé, Mansi, Tommaso, Passerini, Tiziano, Mihalef, Viorel
Format Patent
LanguageEnglish
Published 20.01.2022
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Summary:Systems and methods for automatically detecting a disease in medical images are provided. Input medical images are received. A plurality of metrics for a disease is computed for each of the input medical images. The input medical images are clustered into a plurality of clusters based on one or more of the plurality of metrics to classify the input medical images. The plurality of clusters comprise a cluster of one or more of the input medical images associated with the disease and one or more clusters of one or more of the input medical images not associated with the disease. In one embodiment, the disease is COVID-19 (coronavirus disease 2019).
Bibliography:Application Number: US202117305631