公开(公告)号：US20240193785A1

公开(公告)日：2024-06-13

申请号：US18587853

申请日：2024-02-26

Applicant: FUJIFILM Corporation

Inventor： Kiyoshi HASEGAWA ,  Yusuke KAZAMI ,  Junichi KANEKO ,  Deepak KESHWANI

IPC: G06T7/11 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V20/70 ,  G16H30/40

CPC classification number: G06T7/11 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V20/70 ,  G16H30/40 ,  G06T2200/04 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30056 ,  G06T2207/30101 ,  G06V2201/031

Abstract: A medical image processing apparatus employs a trained model generated by performing machine learning using training data that includes first input data including a first image regarding a liver, and portal vein branch labeling data in which a portal vein branch label is attached to a portal vein region in the liver in the first image for each portal vein branch corresponding to a hepatic segment. The medical image processing apparatus uses the trained model to assign the portal vein branch label to each image unit element of a second image region including at least a liver region of the second image included in a second input data which is the same type as the first input data, and divides the liver region included in the second input data into hepatic segments based on the portal vein branch label assigned to each image unit element of the second image region.

公开(公告)号：US20240169525A1

公开(公告)日：2024-05-23

申请号：US18354921

申请日：2023-07-19

Applicant: Case Western Reserve University ,  UH Cleveland Medical Center

Inventor： David L. Wilson ,  Ammar Hoori ,  Tao Hu ,  Yingnan Song ,  Hao Wu ,  Juhwan Lee ,  Sadeer Al-Kindi ,  Sanjay Rajagopalan

IPC: G06T7/00 ,  G06T7/11 ,  G06T7/30 ,  G06V10/26 ,  G06V10/44 ,  G06V10/766 ,  G06V10/774 ,  G06V20/50 ,  G16H50/30 ,  G16H50/70

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T7/30 ,  G06V10/26 ,  G06V10/44 ,  G06V10/766 ,  G06V10/774 ,  G06V20/50 ,  G16H50/30 ,  G16H50/70 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/30048 ,  G06V2201/031

Abstract: The present disclosure, in some embodiments, relates to a method of generating a prognosis for a patient. The method includes accessing automatically segmented pericoronary adipose tissue (PCAT) corresponding to a patient within an electronic memory. A plurality of non-confounding PCAT features are generated by measuring values of Hounsfield units for an imaging unit within the PCAT. The measured values of the Hounsfield units are predominately free of iodine confounding and artifacts. The plurality of non-confounding PCAT features are provided to a regression model. The regression model is configured to generate a prognosis for the patient using the plurality of non-confounding PCAT features

公开(公告)号：US20240148236A1

公开(公告)日：2024-05-09

申请号：US18490783

申请日：2023-10-20

Applicant: FUJIFILM Corporation

Inventor： Nobuyuki Torisawa

IPC: A61B1/00 ,  A61B1/018 ,  A61B1/05 ,  A61B18/14 ,  G06V20/52

CPC classification number: A61B1/0005 ,  A61B1/000094 ,  A61B1/018 ,  A61B1/05 ,  A61B18/1492 ,  G06V20/52 ,  A61B2018/00601 ,  A61B2018/141 ,  A61B2018/144 ,  G06V2201/031

Abstract: A medical support device includes a processor used for an endoscope apparatus including an endoscope that images a luminal organ and a treatment tool that is energized in a state of being in contact with a treatment target part included in the luminal organ to cut the treatment target part. The processor is configured to output permission and non-permission information indicating whether or not the energization is permitted. Whether or not the energization is permitted is determined on the basis of a captured image that has been obtained by imaging the luminal organ with the endoscope and that includes the treatment tool.

公开(公告)号：US20240144473A1

公开(公告)日：2024-05-02

申请号：US18277249

申请日：2022-02-11

Applicant: King's College London

Inventor： Reza Razavi ,  Andrew P. King ,  Bram Ruijsink ,  Esther Puyol Anton

IPC: G06T7/00 ,  G06V10/82

CPC classification number: G06T7/0012 ,  G06V10/82 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30048 ,  G06V2201/031 ,  G06V2201/10

Abstract: The present disclosure relates to a method for automated characterisation of images obtained using a medical imaging modality, in particular, the present disclosure relates to a method for analysis of cine cardiac magnetic resonance (CMR) images using an artificial intelligence (AI) framework.

公开(公告)号：US11957483B2

公开(公告)日：2024-04-16

申请号：US17506932

申请日：2021-10-21

Applicant: FUJIFILM Corporation

Inventor： Misaki Meguro

IPC: A61B1/00 ,  A61B5/00 ,  A61B5/02 ,  G06T7/246 ,  G06V10/56 ,  G06V10/60

CPC classification number: A61B5/4842 ,  A61B5/0071 ,  A61B5/02042 ,  A61B5/4216 ,  A61B5/4255 ,  G06V10/56 ,  G06V10/60 ,  G06V2201/031

Abstract: A disease-related processing section performs at least one of the calculation of an index value related to a stage of ulcerative colitis, the determination of the stage of the ulcerative colitis, or the determination of whether or not the ulcerative colitis has remitted, on the basis of the denseness of superficial blood vessels, intramucosal hemorrhage, and extramucosal hemorrhage obtained from a medical image.

公开(公告)号：US11942224B2

公开(公告)日：2024-03-26

申请号：US17646756

申请日：2022-01-03

Applicant: Blackthorn Therapeutics, Inc.

Inventor： Yuelu Liu ,  Monika Sharma Mellem ,  Parvez Ahammad ,  Humberto Andres Gonzalez Cabezas ,  Matthew Kollada

IPC: G16H50/30 ,  A61B5/00 ,  A61B5/055 ,  A61B5/16 ,  G06F18/21 ,  G06F18/214 ,  G06N20/00 ,  G16H10/20 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/70 ,  G16H20/70

CPC classification number: G16H50/30 ,  A61B5/0042 ,  A61B5/055 ,  A61B5/16 ,  A61B5/7267 ,  G06F18/2148 ,  G06F18/2178 ,  G06F18/2193 ,  G06N20/00 ,  G16H10/20 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/70 ,  A61B2576/026 ,  G06V2201/031 ,  G16H20/70

Abstract: A system for evaluating mental health of patients includes a memory and a control system. The memory contains executable code storing instructions for performing a method. The control system is coupled to the memory and includes one or more processors. The control system is configured to execute the machine executable code to cause the control system to perform the method: A selection of answers associated with a patient is received. The selection of answers corresponds to each question in a series of questions from mental health questionnaires. Unprocessed MRI data are received. The unprocessed MRI data correspond to a set of MRI images of a biological structure associated with the patient. The unprocessed MRI data is processed to output a set of MRI features. Using a machine learning model, the selection of answers and the set of MRI features are processed to output a mental health indication of the patient.

公开(公告)号：US11941802B2

公开(公告)日：2024-03-26

申请号：US17210256

申请日：2021-03-23

Applicant: Alibaba Group Holding Limited

Inventor： Minfeng Xu ,  Zhe Tang ,  Shuangrui Liu ,  Wenchao Guo ,  Jianqiang Ma

IPC: G06T7/00 ,  A61B5/00 ,  G06F18/214 ,  G06F18/2415 ,  G06F18/40 ,  G06T7/11 ,  G06V10/778

CPC classification number: G06T7/0012 ,  A61B5/004 ,  A61B5/7267 ,  A61B5/7275 ,  A61B5/7475 ,  G06F18/2148 ,  G06F18/2415 ,  G06F18/41 ,  G06T7/11 ,  G06V10/7788 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/30096 ,  G06V2201/031

Abstract: The present application discloses a method, device, and system for processing a medical image. The method includes obtaining, by one or more processors, a target image, segmenting, by the one or more processors, a target region image from the target image, wherein the target region image comprises a target object region in the target image, analyzing, by the one or more processors, the target region image based at least in part on a machine learning model, and obtaining by the one or more processors, a recognition result based at least in part on the analysis of the target region image.

公开(公告)号：US20240074638A1

公开(公告)日：2024-03-07

申请号：US18505029

申请日：2023-11-08

Applicant: FUJIFILM Corporation

Inventor： Masaaki OOSAKE

IPC: A61B1/00 ,  G06V10/82 ,  G06V20/50

CPC classification number: A61B1/00009 ,  A61B1/0002 ,  A61B1/0005 ,  G06V10/82 ,  G06V20/50 ,  G06V2201/031

Abstract: A medical image processing apparatus includes a processor configured to perform: a first determination process of determining, based on an acquired medical image, whether any of a plurality of imaging target sites is included in the medical image; a second determination process of determining, if it is determined in the first determination process that any of the plurality of imaging target sites is included in the medical image, whether the medical image is an image satisfying a determination criterion of a site included in the medical image; and a display control process of displaying, if it is determined in the second determination process that the medical image is the image satisfying the determination criterion of the site included in the medical image, a notification indicator on a display unit, the notification indicator indicating that the image satisfying the determination criterion of the site included in the medical image is captured.

公开(公告)号：US20240054707A1

公开(公告)日：2024-02-15

申请号：US18495790

申请日：2023-10-27

Applicant: FUJIFILM Corporation

Inventor： Yuya HAMAGUCHI ,  Toshihiro USUDA

IPC: G06T11/60 ,  G06T7/70 ,  G06V10/764 ,  G06V20/50 ,  G06V20/70 ,  G16H30/40 ,  A61B8/00

CPC classification number: G06T11/60 ,  G06T7/70 ,  G06V10/764 ,  G06V20/50 ,  G06V20/70 ,  G16H30/40 ,  A61B8/463 ,  G06T2207/10132 ,  G06V2201/031 ,  G06T2207/30004 ,  G06T2207/10068 ,  G06T2207/10016

Abstract: The present disclosure allows information on an object included in a moving image to be superimposed on the moving image and displayed with high visibility. Position information and type information of an object included in frame images of an acquired moving image are acquired, a first display position at which the position information is to be displayed and a second display position at which the type information is to be displayed are determined, the sequentially acquired frame images are sequentially displayed on a display, the position information and the type information are displayed so as to be superimposed on each of the displayed frame images at the first display position and the second display position, the first display position is updated with a first update frequency, and the second display position is updated with a second update frequency lower than the first update frequency.

公开(公告)号：US20240037920A1

公开(公告)日：2024-02-01

申请号：US18267800

申请日：2021-12-18

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： MATTHIAS LENGA ,  AXEL SAALBACH ,  NICOLE SCHADEWALDT ,  STEFFEN RENISCH ,  HEINRICH SCHULZ

IPC: G06V10/774 ,  G06V10/764 ,  G06V10/776 ,  G06V10/22

CPC classification number: G06V10/774 ,  G06V10/764 ,  G06V10/776 ,  G06V10/235 ,  G06V2201/031

Abstract: A system and method for training a machine learning module to provide classification and localization information for an image study. The method includes receiving a current image study. The method includes applying the machine learning module to the current image study to generate a classification result including a prediction for one or more class labels for the current image study using User Interface 104 a classification module of the machine learning module. The method includes receiving, via a user interface, a user input indicating a spatial location corresponding to a predicted class label. The method includes training a localization module of the machine learning module using the user input indicating the spatial location corresponding to the predicted class label.