公开(公告)号：US20230342882A1

公开(公告)日：2023-10-26

申请号：US18338350

申请日：2023-06-21

Applicant: FUJIFILM Corporation

Inventor： Yuta HIASA

IPC: G06T3/60 ,  G06T3/40 ,  G06T5/50

CPC classification number: G06T3/60 ,  G06T3/40 ,  G06T5/50 ,  G06T2200/04 ,  G06T2207/10081 ,  G06T2207/10121 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30061

Abstract: A medical use image processing method according to an aspect of the present invention is a medical use image processing method executed by a medical use image processing device including a processor, the medical use image processing method including causing the processor to execute a reception step of receiving input of a first medical use image actually captured in a first posture, and an image generation step of generating a second medical use image, in which the same portion as the first medical use image is imaged in a second posture different from the first posture, from the first medical use image in a pseudo manner, in which the second medical use image is generated by using a deformation vector field that converts the first medical use image into the second medical use image.

公开(公告)号：US20230377149A1

公开(公告)日：2023-11-23

申请号：US18366628

申请日：2023-08-07

Applicant: FUJIFILM Corporation

Inventor： Yuta HIASA

IPC: G06T7/00 ,  G06T7/11 ,  G06T7/70 ,  G06V10/25 ,  G06V20/70 ,  G06V10/774 ,  G06V10/776

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T7/70 ,  G06V10/25 ,  G06V20/70 ,  G06V10/774 ,  G06V10/776 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30096 ,  G06T2207/10116 ,  G06V2201/032 ,  G06V2201/031 ,  G06T2207/30101 ,  G06T2207/30061 ,  G06T2207/30048

Abstract: Provided are a learning apparatus, a learning method, a trained model, and a program capable of efficiently performing learning for disease detection with high accuracy while suppressing a cost. A learning apparatus (100) includes a processor (129), a memory (114) that stores a data set of a medical image and lesion information included in the medical image, and a learning model (126) with an attention mechanism (128) that estimates a disease from an input medical image. The processor performs processing of specifying a position of a region of interest indicated by an attention map (208) in organ labeling information (206), and outputting a specification result (210), processing of calculating an error by comparing an estimation result (212) with lesion information (204), processing of setting the error on the basis of the specification result (210), and processing of causing the learning model (126) to perform learning by using the set error.

公开(公告)号：US20230368880A1

公开(公告)日：2023-11-16

申请号：US18357143

申请日：2023-07-23

Applicant: FUJIFILM Corporation

Inventor： Yuta HIASA

IPC: G16H15/00 ,  G06T7/00 ,  G06V10/774

CPC classification number: G16H15/00 ,  G06T7/0012 ,  G06V10/774 ,  G06T2207/20081 ,  G06T2207/10081 ,  G06V2201/031 ,  G06V2201/12

Abstract: The learning apparatus includes a processor (129), a memory (114), and a learning model (126). The processor (129) performs processing of inputting a pseudo simple X-ray image (204), which is generated by projecting an X-ray CT image (202), to the learning model (126), processing of generating a second interpretation report (208) with respect to the pseudo simple X-ray image (204) by converting a first interpretation report (206), processing of acquiring an error between an estimation report (210) with respect to the pseudo simple X-ray image (204) output by the learning model (126) on the basis of the input pseudo simple X-ray image (204), and the second interpretation report (208), and processing of training the learning model (126) by using the error.

公开(公告)号：US20240127613A1

公开(公告)日：2024-04-18

申请号：US18395710

申请日：2023-12-25

Applicant: FUJIFILM Corporation

Inventor： Yuta HIASA

IPC: G06V20/70 ,  G06T7/00 ,  G06T7/33 ,  G06V10/25 ,  G06V10/774 ,  G06V10/776

CPC classification number: G06V20/70 ,  G06T7/0012 ,  G06T7/344 ,  G06V10/25 ,  G06V10/774 ,  G06V10/776 ,  G06T2200/04 ,  G06T2207/10081 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2207/30064 ,  G06V10/764 ,  G06V2201/031

Abstract: Provided are a disease label creation device, a disease label creation method, a disease label creation program, a learning device, and a disease detection model that can create a disease label for a simple X-ray image at a low annotation cost. An information acquisition unit of a first processor of a disease label creation device acquires a simple X-ray image, a three-dimensional CT image paired with the simple X-ray image, and a three-dimensional first disease label extracted from the CT image. A registration processing unit of the first processor performs registration between the simple X-ray image and the CT image. A disease label converter of the first processor converts the first disease label into a two-dimensional second disease label corresponding to the simple X-ray image on the basis of a result of the registration by the registration processing unit to create a disease label.

公开(公告)号：US20240127578A1

公开(公告)日：2024-04-18

申请号：US18395714

申请日：2023-12-25

Applicant: FUJIFILM Corporation

Inventor： Yuta HIASA

IPC: G06V10/74 ,  G06V10/25 ,  G06V10/44 ,  G06V10/54 ,  G16H50/20

CPC classification number: G06V10/761 ,  G06V10/25 ,  G06V10/44 ,  G06V10/54 ,  G16H50/20 ,  G06V2201/03

Abstract: An image processing device 10 includes a processor 12, and the processor 12 is configured to execute an image acquisition process of acquiring a first image in a first image space and a second image in a second image space different from the first image space, a first conversion process of converting the first image into an image in a third image space that is characterized by a region of interest, using a first converter, a second conversion process of converting the second image into an image in the third image space using a second converter, and a first similarity calculation process of calculating a first similarity between the first image and the second image in the third image space.

公开(公告)号：US20240122556A1

公开(公告)日：2024-04-18

申请号：US18395717

申请日：2023-12-25

Applicant: FUJIFILM Corporation

Inventor： Yuta HIASA

IPC: A61B6/03 ,  A61B6/00 ,  G06T7/00 ,  G16H30/40

CPC classification number: A61B6/032 ,  A61B6/5217 ,  G06T7/0016 ,  G16H30/40 ,  G06T2207/10116 ,  G06T2207/20081

Abstract: An embodiment of the present invention provides a learning method, a learning apparatus, and a learning program for decomposing a two-dimensional X-ray image into a variety of regions, and an image processing method, an image processing apparatus, and an image processing program using a result of learning. A learning method according to an aspect of the present invention includes generating a masked CT image from a three-dimensional CT image, and generating a third pseudo X-ray image from the masked CT image. Then, a second pseudo X-ray image generated by projecting an original CT image is compared with the third pseudo X-ray image as a reference, and a parameter for use in generating the second pseudo X-ray image is updated based on a comparison result. A processor repeats the processing of each step until a predetermined condition is satisfied.

公开(公告)号：US20230316550A1

公开(公告)日：2023-10-05

申请号：US18181550

申请日：2023-03-10

Applicant: FUJIFILM Corporation

Inventor： Yuta HIASA

IPC: G06T7/38 ,  G06T7/00 ,  G06T11/00

CPC classification number: G06T7/38 ,  G06T7/0012 ,  G06T11/00 ,  G06T2207/10076 ,  G06T2207/30061 ,  G06T2207/30096 ,  G06T2210/41 ,  G06T2207/10064

Abstract: A processor specifies a target position in a three-dimensional image acquired by imaging a subject before treatment, performs registration between two-dimensional images sequentially acquired for the subject under the treatment and the three-dimensional image, derives an evaluation result representing a reliability of the registration at least at the target position of the three-dimensional image, derives a range in which the target position possibly exists in the two-dimensional image based on a result of the registration and the evaluation result, and displays the two-dimensional image on which the range is superimposed.