公开(公告)号：US11232570B2

公开(公告)日：2022-01-25

申请号：US16790116

申请日：2020-02-13

Applicant: OLYMPUS CORPORATION

Inventor： Hirokazu Nozaki ,  Wataru Hashimoto ,  Takashi Suzuki ,  Mitsunori Kubo ,  Yusuke Kuwa ,  Yuji Sakamoto ,  Mariko Otagiri ,  Naoki Yoshida ,  Yoji Watanabe

IPC: G06K9/00 ,  G06T7/00 ,  G16H50/30 ,  G06N20/00 ,  G06T5/40

Abstract: A diagnostic system, method, and a computer-readable storage medium for determining a severity of a gastric condition, such as gastritis, in a subject are disclosed. The diagnostic system includes a processor that obtains an image of a stomach of the subject collected by an endoscope. The processor can compare the subject image with reference normal and abnormal stomach images. If the subject image is abnormal, the processor can generate a subject abnormality image indicative of the differences between the subject image and the normal image. By comparing the generated subject abnormality image with reference abnormality images representative of different severity levels of gastritis, the processor can diagnose the subject as having a particular severity level of gastritis.

公开(公告)号：US11024031B1

公开(公告)日：2021-06-01

申请号：US16790068

申请日：2020-02-13

Applicant: OLYMPUS CORPORATION

Inventor： Hirokazu Nozaki ,  Wataru Hashimoto ,  Takashi Suzuki ,  Mitsunori Kubo ,  Yusuke Kuwa ,  Yuji Sakamoto ,  Mariko Otagiri ,  Naoki Yoshida ,  Yoji Watanabe

IPC: G06K9/00 ,  G06T7/00 ,  G06T5/50 ,  A61B1/06 ,  A61B1/273

Abstract: A diagnostic system, method, and a computer-readable storage medium for determining a severity of a gastric condition, such as gastric cancer, in a subject are disclosed. The diagnostic system includes a processor that can obtain various images of a stomach of the subject including wavelength images and generate difference images from the wavelength images. The processor can compare the subject images with reference images representative of different severity levels of gastric cancer, or can input the subject images into a learned model trained using the reference images stored in the database to extract a feature pattern corresponding to a severity of gastric cancer to diagnose the subject as having a particular severity level of gastric cancer.