US 12,347,103 B2
Learning apparatus, learning system, learning method of machine learning model, and storage medium
Eri Suzui, Hino (JP); Hitoshi Futamura, Hachioji (JP); Shinsuke Katsuhara, Kodaira (JP); Hirotake Minami, Fuchu (JP); and Nodoka Iida, Hino (JP)
Assigned to KONICA MINOLTA, INC., Tokyo (JP)
Filed by Konica Minolta, Inc., Tokyo (JP)
Filed on Jun. 9, 2022, as Appl. No. 17/806,165.
Claims priority of application No. 2021-102146 (JP), filed on Jun. 21, 2021.
Prior Publication US 2022/0405924 A1, Dec. 22, 2022
Int. Cl. G06T 7/00 (2017.01); G16H 30/40 (2018.01)
CPC G06T 7/0012 (2013.01) [G16H 30/40 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A learning apparatus comprising:
a hardware processor,
wherein the hardware processor obtains a first medical image,
wherein the hardware processor generates a second medical image in which a feature according to feature information related to a portion other than a recognition target of the first medical image is made close to the feature according to standard feature information which is to be a predetermined standard, the standard feature information being an average feature information of previously obtained images, and
wherein the second medical image is used to train a machine learning model.