Invention Grant
- Patent Title: Classification system and classification method of autoantibody immunofluorescence image
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Application No.: US16397379Application Date: 2019-04-29
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Publication No.: US10937521B2Publication Date: 2021-03-02
- Inventor: Chang-Fu Kuo , Chi-Hung Lin , Yi-Ling Chen , Meng-Jiun Chiou
- Applicant: CHANG GUNG MEMORIAL HOSPITAL, LINKOU
- Applicant Address: TW Taoyuan
- Assignee: CHANG GUNG MEMORIAL HOSPITAL, LINKOU
- Current Assignee: CHANG GUNG MEMORIAL HOSPITAL, LINKOU
- Current Assignee Address: TW Taoyuan
- Agency: WPAT, PC
- Priority: TW107118280 20180529
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G16B5/00 ; G06K9/00

Abstract:
A classification system and a classification method of the autoantibody immunofluorescence image are disclosed. The system includes an input device, a processor and an output device. The plurality of cell immunofluorescence images and the corresponded extractable nuclear antigen results are input through the input device. The processor conducts a plurality of convolution neural network calculation and output the classification based on the extractable nuclear antigen results, so as to obtain an extractable nuclear antigen classification model. When the autoantibody immunofluorescence image is input by the input device, the corresponded classification of the extractable nuclear antigen can be predicted. The classification result is output through the output device.
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