Invention Grant
- Patent Title: Classification apparatus for pathologic diagnosis of medical image, and pathologic diagnosis system using the same
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Application No.: US15113644Application Date: 2015-09-08
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Publication No.: US10013757B2Publication Date: 2018-07-03
- Inventor: Hyo-eun Kim , Sang-heum Hwang , Seung-wook Paek , Jung-in Lee , Min-hong Jang , Dong-geun Yoo , Kyung-hyun Paeng , Sung-gyun Park
- Applicant: LUNIT INC.
- Applicant Address: KR Seoul
- Assignee: LUNIT INC.
- Current Assignee: LUNIT INC.
- Current Assignee Address: KR Seoul
- Agency: Rabin & Berdo, P.C.
- Priority: KR10-2015-0111277 20150806
- International Application: PCT/KR2015/009447 WO 20150908
- International Announcement: WO2017/022882 WO 20170209
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00 ; G06F19/00 ; G06F17/30 ; G06N99/00 ; G06K9/48 ; G06K9/62 ; G06K9/66 ; G06T7/11 ; A61B8/08 ; G16H50/20

Abstract:
The present invention relates to a classification apparatus for pathologic diagnosis of a medical image and a pathologic diagnosis system using the same. According to the present invention, there is provided a classification apparatus for pathologic diagnosis of a medical image, including: a feature extraction unit configured to extract feature data for an input image using a feature extraction variable; a feature vector transformation unit configured to transform the extracted feature data into a feature vector using a vector transform variable; and a vector classification unit configured to classify the feature vector using a classification variable, and to output the results of the classification of pathologic diagnosis for the input image; wherein the feature extraction unit, the feature vector transformation unit and the vector classification unit are trained based on a first tagged image, a second tagged image, and an image having no tag information.
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