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：US20170061608A1

公开(公告)日：2017-03-02

申请号：US15113680

申请日：2015-09-09

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 ,  H04L29/06 ,  G06F17/30 ,  H04L29/08

CPC classification number: G06T7/0012 ,  A61B5/7267 ,  G06F16/51 ,  G06F16/5838 ,  G06T2207/10056 ,  G06T2207/30024 ,  G16H30/40 ,  G16H40/60 ,  G16H50/20 ,  H04L67/06 ,  H04L67/10 ,  H04L67/42

Abstract: The present invention relates to a cloud-based pathological analysis system and method. The present invention provides a cloud-based pathological analysis system, including: a client device coupled to a microscope, and configured to acquire an image for a tissue sample via the microscope and generate a sample image; and a cloud server coupled to the client device over a network, and configured to receive sample image data from the client device over the network and store the sample image data; wherein the cloud server analyzes the received sample image data, and transmits analysis information to the client device.

Abstract translation: 本发明涉及一种基于云的病理分析系统和方法。 本发明提供了一种基于云的病理分析系统，包括：耦合到显微镜的客户端设备，并且被配置为经由显微镜获取组织样本的图像并生成样本图像; 以及云服务器，其通过网络耦合到所述客户端设备，并且被配置为通过网络从所述客户端设备接收样本图像数据并存储所述样本图像数据; 其中云服务器分析接收到的采样图像数据，并将分析信息发送到客户端设备。