公开(公告)号：US20230274432A1

公开(公告)日：2023-08-31

申请号：US17888798

申请日：2022-08-16

Applicant: National Yang Ming Chiao Tung University

Inventor： Cheng-Chia LEE ,  Huai-Che YANG ,  Wen-Yuh CHUNG ,  Chih-Chun WU ,  Wan-Yuo GUO ,  Ya-Xuan YANG ,  Tzu-Hsuan HUANG ,  Chun-Yi LIN ,  Wei-Kai LEE ,  Chia-Feng LU ,  Yu-Te WU

IPC: G06T7/00 ,  G06V10/25 ,  G06V10/764 ,  G16H30/20

CPC classification number: G06T7/0014 ,  G06V10/25 ,  G06V10/764 ,  G16H30/20 ,  G06T2207/20081 ,  G06T2207/30096 ,  G06T2207/30016 ,  G06V2201/031

Abstract: A brain tumor types distinguish system includes an image outputting device and a server computing device. The image outputting device outputs at least three brain images captured from the position of a brain tumor. The server computing device pre-stores a plurality of distinguish pathways corresponding to different types of brain tumors. The server computing device includes an image receiving module, an image pre-processing module, a data comparison module and a distinguish module. The image receiving module receives the brain images. The image pre-processing module pre-processes the brain images to obtain corresponding processed images thereof. The data comparison module compares the brain images and the processed images with the distinguish pathways to obtain at least three comparison results. The distinguish module statistically analyzes the comparison results to obtain a distinguish result.

公开(公告)号：US20230274428A1

公开(公告)日：2023-08-31

申请号：US18248706

申请日：2020-10-14

Applicant: GENOMEDIA INC. ,  NATIONAL CANCER CENTER JAPAN

Inventor： Satoshi FUJII ,  Takayuki YOSHINO ,  Tomoyuki YAMADA ,  Masahiro HATTORI

IPC: G06T7/00 ,  G06T7/11 ,  G06V20/69 ,  G06V10/26 ,  G06V10/77 ,  G16B20/20 ,  G16B40/20

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06V20/695 ,  G06V10/267 ,  G06V10/7715 ,  G16B20/20 ,  G16B40/20 ,  G06T2207/30096 ,  G06T2207/30028 ,  G06V2201/031

Abstract: An information processing system including units configured to: acquire a pathologic tissue image of a patient having a target disease; divide the pathologic tissue image into region images; input each of the region images to each of a plurality of feature prediction models constructed one-to-one for types of histopathological features; sort a plurality of region images of which respective combinations of presence or absence of the histopathological features based on the acquisition match a previously set combination of presence or absence of the histopathological features at time of sorting; input each of the region images selected by the sorting to each of gene mutation prediction models constructed one-to-one for types of gene mutations, the gene mutation prediction models each having a combination of presence or absence of the histopathological features; and output a prediction result of presence or absence of at least one gene mutation in the patient.

公开(公告)号：US20230240656A1

公开(公告)日：2023-08-03

申请号：US18011020

申请日：2021-06-17

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Anup Agarwal ,  Carina Pereira ,  Stefan Burton Roger ,  Yang Jiang ,  Earl M. Canfield, II ,  Shannon Renee Fox

IPC: A61B8/00 ,  G16H40/60 ,  G06V20/50 ,  G06V10/82 ,  G06V10/44 ,  A61B8/08

CPC classification number: A61B8/467 ,  G16H40/60 ,  G06V20/50 ,  G06V10/82 ,  G06V10/44 ,  A61B8/54 ,  A61B8/5223 ,  A61B8/464 ,  G06V2201/031

Abstract: An ultrasound imaging system may include a user interface that may be adapted based, at least in part, on usage data of one or more users. The functions of soft or hard controls may be changed in some examples. The layout or appearance of soft or hard controls may be altered in some examples. In some examples, seldom used controls may be removed from the user interface. In some examples, the user interface may be adapted based on an anatomical feature being imaged. In some examples, the usage data may be analyzed by an artificial intelligence/machine learning model, which may provide outputs that may be used to adapt the user interface.

公开(公告)号：US20230177684A1

公开(公告)日：2023-06-08

申请号：US18057422

申请日：2022-11-21

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Jung Won LEE ,  Yang Gon KIM ,  Su Bin BAE ,  Hyeon Woong JANG

IPC: G06T7/00 ,  G06T7/33 ,  G06T7/68 ,  G06V10/26

CPC classification number: G06T7/0012 ,  G06T7/33 ,  G06T7/68 ,  G06V10/26 ,  G06T2207/30012 ,  G06T2207/30061 ,  G06V2201/033 ,  G06V2201/031 ,  G06T2207/10116

Abstract: The present invention relates to a method and apparatus for evaluating inspiration-level quality of a chest radiographic image, wherein the method includes extracting a lung region from a chest radiographic image, detecting a rib cage from the extracted lung region, analyzing a degree of inspiration when the chest radiographic image is captured, and evaluating quality of the chest radiographic image. It is possible for the present invention to be applied to other embodiments.

公开(公告)号：US20230162493A1

公开(公告)日：2023-05-25

申请号：US17992307

申请日：2022-11-22

Applicant: Riverain Technologies LLC

Inventor： Steve W. WORRELL ,  Xiaotian WU ,  Garrett REGAN ,  Jason F. KNAPP ,  Ofer PINHASI ,  Terry DOLWICK ,  Jason MONNIN

IPC: G06V10/82 ,  G06T7/00

CPC classification number: G06V10/82 ,  G06T7/0012 ,  G06T2207/30048 ,  G06V2201/031

Abstract: Automated techniques may be used to process three-dimensional image sets obtained via computer tomography (CT), magnetic resonance imaging (MRI), and other techniques. Image data representing an anatomical feature (e.g., an aorta) may be automatically segmented to obtain mask data for the anatomical feature. The mask data may undergo automated centerline regression to obtain centerline data for the anatomical feature. Automated curved planar reformatting, using the centerline data, may be applied to the original image data and/or the mask data. The curved planar reformation results may be subjected to automated segmentation. The resulting image data set may be used for such purposes as visualization, disease detection, measurement of feature, and/or tracking the anatomical feature over time.