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公开(公告)号:US12094147B2
公开(公告)日:2024-09-17
申请号:US17509590
申请日:2021-10-25
申请人: VUNO Inc.
发明人: Eunpyeong Hong , Wonmo Jung , Sejin Park , Hyunwoo Oh , Dong Soo Lee , Weon Jin Kim , Jinkyeong Sung
CPC分类号: G06T7/62 , G06T7/0012 , G06T17/20 , G06T2207/10081 , G06T2207/10088 , G06T2207/20081 , G06T2207/20084
摘要: Disclosed is a method for analyzing a thickness of a cortical region, performed by a computing device. The method may include: extracting a plurality of interfaces included in a cortical region based on a mask generated from a medical image including at least one brain region; and estimating a thickness of the cortical region based on the plurality of interfaces.
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公开(公告)号:US12125199B2
公开(公告)日:2024-10-22
申请号:US17539827
申请日:2021-12-01
申请人: VUNO Inc.
发明人: Hyunwoo Oh , Sejin Park , Jinkyeong Sung , Weon Jin Kim , Eunpyeong Hong , Dong Soo Lee
CPC分类号: G06T7/0012 , A61B5/0042 , A61B5/7264 , A61B5/7275 , G06N3/045 , G06T7/11 , G06T7/30 , G16H30/40 , G16H50/20 , A61B5/055 , A61B5/4088 , G06T2207/20084 , G06T2207/30016
摘要: Disclosed is a method for predicting disease based on a medical image performed by a computing device. The method includes: generating a feature vector related to predictive values of brain disease for each of 2D medical images included in a 3D medical image, using a pre-trained first model; estimating importance indicating prediction accuracy for each of the 2D medical images based on the feature vector, using a pre-trained second model; and selecting at least one model input image suitable for prediction of the brain disease from among the 2D medical images based on the importance.
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