CANCER MAPPING USING MACHINE LEARNING

CANCER MAPPING USING MACHINE LEARNING

A method for mapping cancer includes inputting data elements from medical images, biopsy, and biopsy pathology labels into a machine learning model estimating the likelihood of clinically significant cancer in a patient and outputting, via the machine learning model, an estimate of the clinically si...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Pusey, Brittany Nan, Natarajan, Shyam, Shubert, Joshua Dylan, Priester, Alan Martin, Bong, Jeremy Tet Kong
Format: Patent
Sprache:eng
Schlagworte:
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Beschreibung
Zusammenfassung:A method for mapping cancer includes inputting data elements from medical images, biopsy, and biopsy pathology labels into a machine learning model estimating the likelihood of clinically significant cancer in a patient and outputting, via the machine learning model, an estimate of the clinically significant cancer likelihood at each voxel of a three-dimensional image