Patent search ap:("KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY") AND inv:"Eungjune SHIM" Page 1

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发明申请
AUTOMATED CLASSIFICATION APPARATUS FOR SHOULDER DISEASE VIA THREE DIMENSIONAL DEEP LEARNING METHOD, METHOD OF PROVIDING INFORMATION FOR CLASSIFICATION OF SHOULDER DISEASE AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM OPERATING THE METHOD OF PROVIDING INFORMATION FOR CLASSIFICATION OF SHOULDER DISEASE 有权

公开(公告)号：US20210012884A1

公开(公告)日：2021-01-14

申请号：US16923987

申请日：2020-07-08

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Youngjun KIM , Eungjune SHIM , Laehyun KIM

IPC: G16H30/40 , G06K9/62 , G06T7/00 , G06T3/40

Abstract: An automated classification apparatus includes a 3D (three dimensional) Inception-Resnet block structure, a global average pooling structure and a fully connected layer. The 3D Inception-Resnet block structure includes a 3D Inception-Resnet structure configured to receive 3D medical image of a patient's shoulder and extract features from the 3D medical image and 3D Inception-Downsampling structure configured to downsample information of a feature map including the features. The global average pooling structure is configured to operate an average pooling for an output of the 3D Inception-Resnet block structure. The fully connected layer is disposed after the 3D global average pooling structure. The automated classification apparatus is configured to automatically classify the 3D medical image into a plurality of categories.

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