METHODS FOR CLASSIFICATION OF LESIONS AND FOR PREDICTING LESION DEVELOPMENT

METHODS FOR CLASSIFICATION OF LESIONS AND FOR PREDICTING LESION DEVELOPMENT

Disclosed are systems and methods for classifying brain lesions based on single point in time imaging, methods for training a machine learning model for classifying brain lesions, and a method of predicting formation of brain lesions based on single point in time imaging. A method of classifying bra...

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Bibliographische Detailangaben
Hauptverfasser: CABA, Bastien, LIU, Dawei, PARAGIOS, Nikos, BELACHEW, Shibeshih, Mitiku, GAFSON, Arie, Rudolf, CAFARO, Alexandre, JIANG, Xiaotang (Phoebe), LOMBARD, Aurélien, FISHER, Elizabeth
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
DIAGNOSIS
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
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Beschreibung
Zusammenfassung:Disclosed are systems and methods for classifying brain lesions based on single point in time imaging, methods for training a machine learning model for classifying brain lesions, and a method of predicting formation of brain lesions based on single point in time imaging. A method of classifying brain lesions based on single point in time imaging can include; accessing patient image data from a single point in time; providing the patient image data as an input to a brain lesion classification model; generating a classification for each of one or more lesions identified in the patient image data; and providing the classification for each of the one or more lesions for display on one or more display devices; wherein the brain lesion classification model is trained using subject image data for a plurality of subjects, the subject image data being captured at two or more points in time.