Patents by Inventor Sin-Sang YU

Sin-Sang YU 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).

  • Apparatus and method for lesion segmentation and detection in medical images
    Patent number: 9536316
    Abstract: An apparatus and method are provided including a first segmenter and a second segmenter. The first segmenter is configured to generate a first segmentation result from a medical image using a first segmentation parameter for a candidate lesion. The second segmenter is configured to determine a target lesion to segment from among the candidate lesion based on the first segmentation result, and generate a second segmentation result using a second segmentation parameter to segment the target lesion.
    Type: Grant
    Filed: February 25, 2014
    Date of Patent: January 3, 2017
    Assignees: Samsung Electronics Co., Ltd., SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION
    Inventors: Moon-Ho Park, Myung-Eun Lee, Ye-Hoon Kim, Jong-Hyo Kim, Jung-Hoe Kim, Yeong-Kyeong Seong, Sin-Sang Yu, Baek-Hwan Cho, Hyeong-Min Jin
  • Apparatus and method for detecting lesion
    Patent number: 9305349
    Abstract: An apparatus and method for detecting a lesion, which enables to adaptively determine a parameter value of a lesion detection process using a feature value extracted from a received medical image and a parameter prediction model to improve accuracy in lesion detection and lesion diagnosis. The apparatus and the method include a model generator configured to generate a parameter prediction model based on pre-collected medical images, an extractor configured to extract a feature value from a received medical image, and a determiner configured to determine a parameter value of a lesion detection process using the extracted feature value and the parameter prediction model.
    Type: Grant
    Filed: June 18, 2014
    Date of Patent: April 5, 2016
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Baek-Hwan Cho, Yeong-Kyeong Seong, Ye-Hoon Kim, Jung-Hoe Kim, Moon-Ho Park, Sin-Sang Yu
  • APPARATUS AND METHOD FOR DETECTING LESION
    Publication number: 20150003677
    Abstract: An apparatus and method for detecting a lesion, which enables to adaptively determine a parameter value of a lesion detection process using a feature value extracted from a received medical image and a parameter prediction model to improve accuracy in lesion detection and lesion diagnosis. The apparatus and the method include a model generator configured to generate a parameter prediction model based on pre-collected medical images, an extractor configured to extract a feature value from a received medical image, and a determiner configured to determine a parameter value of a lesion detection process using the extracted feature value and the parameter prediction model.
    Type: Application
    Filed: June 18, 2014
    Publication date: January 1, 2015
    Applicant: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Baek-Hwan CHO, Yeong-Kyeong SEONG, Ye-Hoon KIM, Jung-Hoe KIM, Moon-Ho PARK, Sin-Sang YU
  • APPARATUS AND METHOD FOR LESION SEGMENTATION IN MEDICAL IMAGE
    Publication number: 20140241606
    Abstract: An apparatus and method are provided including a first segmenter and a second segmenter. The first segmenter is configured to generate a first segmentation result from a medical image using a first segmentation parameter for a candidate lesion. The second segmenter is configured to determine a target lesion to segment from among the candidate lesion based on the first segmentation result, and generate a second segmentation result using a second segmentation parameter to segment the target lesion.
    Type: Application
    Filed: February 25, 2014
    Publication date: August 28, 2014
    Applicants: SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION, SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Moon-Ho PARK, Myung-Eun LEE, Ye-Hoon KIM, Jong-Hyo KIM, Jung-Hoe KIM, Yeong-Kyeong SEONG, Sin-Sang YU, Baek-Hwan CHO, Hyeong-Min JIN