公开(公告)号：US20240020823A1

公开(公告)日：2024-01-18

申请号：US17293250

申请日：2021-03-22

申请人： DEEPNOID CO., LTD. ,  GIMHAE BIOMEDICAL CENTER ,  JEONGSEOK RESEARCH FOUNDATION

发明人： Tae-Gyu KIM ,  Hyun-Ju CHOI ,  Hwa-Pyung KIM ,  Hao LI ,  Dae-Woo SEOK ,  Seung-Hoon LEE ,  Woo-Sik CHOI ,  Seung-Hwan LEE

IPC分类号： G06T7/00 ,  G06T7/194 ,  G06T7/11 ,  G06V20/50 ,  G06V10/764 ,  G06V10/774 ,  G16H50/20 ,  G16H30/40 ,  G16H50/50

CPC分类号： G06T7/0012 ,  G06T7/194 ,  G06T7/11 ,  G06V20/50 ,  G06V10/764 ,  G06V10/774 ,  G16H50/20 ,  G16H30/40 ,  G16H50/50 ,  G06T2207/30008 ,  G06T2207/30096 ,  G06T2207/30061 ,  G06T2207/20081 ,  G06V2201/031 ,  G06V2201/033 ,  G06T2207/30204 ,  G06T2207/10116

摘要： A deep learning-based lung disease diagnosis assistance system according to an embodiment of the present disclosure includes an image input unit inputting a diagnosis target image obtained by capturing a lung image; a bone area removal unit removing a bone area from the diagnosis target image to output a soft tissue image from which the bone area is removed, on the basis of the bone binary model; a lung area extraction unit extracting a lung area from the soft tissue image to output a lung image of the lung area on the basis of a lung segmentation model; and a lung disease diagnosis unit diagnosing whether lung disease is present in the lung image on the basis of a lung disease detection model.