公开(公告)号：US20170236271A1

公开(公告)日：2017-08-17

申请号：US15113644

申请日：2015-09-08

Applicant: LUNIT INC.

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

IPC: G06T7/00 ,  G06F17/30 ,  G06T7/11 ,  G06K9/48 ,  G06K9/62 ,  G06K9/66 ,  G06F19/00 ,  G06N99/00

CPC classification number: G06T7/0012 ,  A61B6/502 ,  A61B6/5217 ,  A61B8/0825 ,  G06F17/30244 ,  G06F17/30247 ,  G06F19/00 ,  G06F19/321 ,  G06K9/481 ,  G06K9/6256 ,  G06K9/6267 ,  G06K9/6292 ,  G06K9/66 ,  G06K2209/05 ,  G06K2209/053 ,  G06N99/00 ,  G06N99/005 ,  G06T7/11 ,  G06T2207/20021 ,  G06T2207/20081 ,  G06T2207/30096 ,  G16H30/20 ,  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.

公开(公告)号：US10013757B2

公开(公告)日：2018-07-03

申请号：US15113644

申请日：2015-09-08

Applicant: LUNIT INC.

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

IPC: G06K9/00 ,  G06T7/00 ,  G06F19/00 ,  G06F17/30 ,  G06N99/00 ,  G06K9/48 ,  G06K9/62 ,  G06K9/66 ,  G06T7/11 ,  A61B8/08 ,  G16H50/20

CPC classification number: G06T7/0012 ,  A61B6/502 ,  A61B6/5217 ,  A61B8/0825 ,  G06F16/50 ,  G06F16/583 ,  G06F19/321 ,  G06K9/481 ,  G06K9/6256 ,  G06K9/6267 ,  G06K9/6292 ,  G06K9/66 ,  G06K2209/05 ,  G06K2209/053 ,  G06N20/00 ,  G06T7/11 ,  G06T2207/10116 ,  G06T2207/20021 ,  G06T2207/20081 ,  G06T2207/30068 ,  G06T2207/30096 ,  G16H30/20 ,  G16H30/40 ,  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.