LOCALIZATION AND CLASSIFICATION OF ABNORMALITIES IN MEDICAL IMAGES

Systems and methods are provided for classifying an abnormality in a medical image. An input medical image depicting a lesion is received. The lesion is localized in the input medical image using a trained localization network to generate a localization map. The lesion is classified based on the inp...

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Bibliographic Details
Main Authors Comaniciu, Dorin, Abdelrahman, Kareem, Meng, Tongbai, Kamen, Ali, Grimm, Robert, Yu, Xin, von Busch, Heinrich, Shi, Bibo, Tuysuzoglu, Ahmet, Von Roden, Nicolas, Lou, Bin, Winkel, David Jean, Diallo, Mamadou, Kiefer, Berthold
Format Patent
LanguageEnglish
Published 12.08.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:Systems and methods are provided for classifying an abnormality in a medical image. An input medical image depicting a lesion is received. The lesion is localized in the input medical image using a trained localization network to generate a localization map. The lesion is classified based on the input medical image and the localization map using a trained classification network. The classification of the lesion is output. The trained localization network and the trained classification network are jointly trained.
Bibliography:Application Number: US201915733778