- Erlangen, DE Ahmet Tuysuzoglu - Jersey City NJ, US Bin Lou - Princeton NJ, US Bibo Shi - Monmouth Junction NJ, US Nicolas Von Roden - St Gallen, CH Kareem Abdelrahman - Giza, EG Berthold Kiefer - Erlangen, DE Robert Grimm - Nürnberg, DE Heinrich von Busch - Uttenreuth, DE Mamadou Diallo - Plainsboro NJ, US Tongbai Meng - Ellicott City MD, US Dorin Comaniciu - Princeton Junction NJ, US David Jean Winkel - Basel, CH Xin Yu - Nashville TN, US
International Classification:
G06T 7/00 G06K 9/62 G06N 20/00 G06T 7/11
Abstract:
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.
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