Title:
COMPUTER MOUNTING METHOD FOR GENERATING MEDICAL IMAGE TO BE INPUT TO MACHINE-LEARNING MODEL, COMPUTER PROGRAM, METHOD FOR CREATING TRAINED MACHINE-LEARNING MODEL, AND DEVICE
Document Type and Number:
WIPO Patent Application WO/2023/190732
Kind Code:
A1
Abstract:
Provided is a computer mounting method for generating a medical image to be input to a machine-learning model. The method comprises: a step for acquiring a plurality of first medical images generated by a modality apparatus, wherein each of the plurality of first medical images is associated with one of a plurality of phases; and a step for generating a plurality of second medical images for adjusting one or a plurality of image characteristics of the plurality of first medical images and for inputting the generated images to the machine learning model, wherein the one or the plurality of image characteristics include at least one of a visual field size, an image size, a slice position, a slice interval, or the number of slices.
Inventors:
KITORA NAOKI (JP)
TAKAHASHI KEIICHIRO (JP)
IWAO YOSHIHIKO (JP)
TAKAHASHI KEIICHIRO (JP)
IWAO YOSHIHIKO (JP)
Application Number:
PCT/JP2023/012908
Publication Date:
October 05, 2023
Filing Date:
March 29, 2023
Export Citation:
Assignee:
BAYER AG (DE)
BAYER YAKUHIN LTD (JP)
BAYER YAKUHIN LTD (JP)
International Classes:
A61B5/055; G06T1/00; G06T1/40; G06T5/00; G06T7/00
Foreign References:
| JP2021052999A | 2021-04-08 | |||
| US20220028154A1 | 2022-01-27 |
Attorney, Agent or Firm:
MURAYAMA YASUHIKO et al. (JP)
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