Patents by Inventor Seung-Wook PAEK

Seung-Wook PAEK has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10013757
    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.
    Type: Grant
    Filed: September 8, 2015
    Date of Patent: July 3, 2018
    Assignee: LUNIT INC.
    Inventors: Hyo-eun Kim, Sang-heum Hwang, Seung-wook Paek, Jung-in Lee, Min-hong Jang, Dong-geun Yoo, Kyung-hyun Paeng, Sung-gyun Park
  • Publication number: 20170236271
    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.
    Type: Application
    Filed: September 8, 2015
    Publication date: August 17, 2017
    Applicant: LUNIT INC.
    Inventors: Hyo-eun KIM, Sang-heum HWANG, Seung-wook PAEK, Jung-in LEE, Min-hong JANG, Dong-geun Yoo, Kyung-hyun PAENG, Sung-gyun PARK
  • Publication number: 20170061608
    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.
    Type: Application
    Filed: September 9, 2015
    Publication date: March 2, 2017
    Applicant: Lunit Inc.
    Inventors: Hyo-eun KIM, Sang-heum HWANG, Seung-wook PAEK, Jung-in LEE, Min-hong JANG, Dong-geun YOO, Kyung-hyun PAENG, Sung-gyun PARK
  • Publication number: 20150026013
    Abstract: A visual product searching apparatus includes a product area determining part, a visual word generating part and a product searching part. The product area determining part extracts a product area in an input image. The visual word generating part generates a visual word reflecting human visual cognitive characteristics based on the product area. The product searching part searches a product using the visual word.
    Type: Application
    Filed: July 17, 2014
    Publication date: January 22, 2015
    Inventors: Seung-Wook PAEK, Jung-In LEE, Dong-Geun YOO, Kyung-Hyun PAENG, Sung-Gyun PARK, Min-Hong JANG