Xin Ling Yu

20210248736, Aug 12, 2021

Jun 13, 2019

15/733778

- 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

G06T 7/00
G06K 9/62
G06N 20/00
G06T 7/11

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.