公开(公告)号：US20220292671A1

公开(公告)日：2022-09-15

申请号：US17624886

申请日：2019-07-10

Applicant: CYBERNET SYSTEMS CO., LTD. ,  SHOWA UNIVERSITY

Inventor： Masashi Misawa ,  Yuichi Mori ,  Shin-ei Kudo ,  Takashi Wakisaka ,  Hideo Kahara

IPC: G06T7/00 ,  G16H30/40 ,  G16H50/20

Abstract: An object to allow an automatic discrimination between a super enlarged image and a non-enlarged image in a computer diagnosis assistance system that analyzes a state of an epithelium using an image analysis. An image analyzing device according to this disclosure is the image analyzing device to be connected to an endoscope, and includes a target image determination unit that obtains an image from the endoscope and determines whether or not the image is a target image using a halation region included in the image, and an image analyzing unit that analyzes a state of an epithelium, captured by the endoscope, using the target image when the image is the target image.

公开(公告)号：US11690494B2

公开(公告)日：2023-07-04

申请号：US17046233

申请日：2019-04-12

Applicant: Showa University ,  National University Corporation Tokai National Higher Education and Research System

Inventor： Yuichi Mori ,  Shin-ei Kudo ,  Masashi Misawa ,  Kensaku Mori

IPC: A61B1/00 ,  A61B1/045

CPC classification number: A61B1/000094 ,  A61B1/00006 ,  A61B1/00045 ,  A61B1/045 ,  A61B1/00039

Abstract: An endoscope observation assistance apparatus includes an image information acquiring part to acquire and display a captured image of a luminal organ captured by the endoscope device on a display, a lesion information acquisition part to detect a predetermined lesion based on the captured image and to acquire lesion information regarding the lesion, a lesion disappearance determination part to track the lesion based on the captured image and the lesion information and to determine whether or not the lesion has disappeared from the captured image, and a notification part to notify a determination result when the lesion disappearance determination part determines that the lesion has disappeared from the captured image. Alternatively, the notification part may notify a lesion detection when a short time period passes after the lesion detection by the lesion information acquisition part.