The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jan. 31, 2023
Filed:
Jul. 05, 2022
Seoul National University Hospital, Seoul, KR;
Korea University Research and Business Foundation, Seoul, KR;
Seoul National University R&db Foundation, Seoul, KR;
Planit Healthcare Inc., Seoul, KR;
Jinwook Choi, Seoul, KR;
Kyoungbun Lee, Seoul, KR;
Gyeong Hoon Kang, Seoul, KR;
Kyung Chul Moon, Seoul, KR;
Gheeyoung Choe, Seongnam-si, KR;
Kyu Sang Lee, Seongnam-si, KR;
Jeong Hwan Park, Seoul, KR;
Won-Ki Jeong, Seoul, KR;
Se Young Chun, Seoul, KR;
Youngkwan Kim, Seoul, KR;
SEOUL NATIONAL UNIVERSITY HOSPITAL, Seoul, KR;
KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATION, Seoul, KR;
SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION, Seoul, KR;
PLANIT HEALTHCARE INC., Seoul, KR;
Abstract
Provided is a method of operating an apparatus for prostate cancer analysis operated by at least one processor, the method including: receiving digital slide images prepared from serial sections of a prostatectomy specimen, and a gross image of the serial sections; acquiring prostate cancer-related histological information of each received digital slide image using an artificial neural network model trained to infer histological information from the digital slide images; generating digital pathology images by displaying the prostate cancer-related histological information inferred from the artificial neural network model on each digital slide image; and providing a histological mapping image in which a tumor region extracted from each digital pathology image is mapped to a gross image of the corresponding section.