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.