US 12,272,049 B2
Learning device, method, and program, medical image processing apparatus, method, and program, and discriminator
Mizuki Takei, Tokyo (JP)
Assigned to FUJIFILM Corporation, Tokyo (JP)
Filed by FUJIFILM Corporation, Tokyo (JP)
Filed on Dec. 16, 2021, as Appl. No. 17/553,641.
Application 17/553,641 is a continuation of application No. PCT/JP2020/025399, filed on Jun. 26, 2020.
Claims priority of application No. 2019-121015 (JP), filed on Jun. 28, 2019.
Prior Publication US 2022/0108451 A1, Apr. 7, 2022
Int. Cl. G06T 7/00 (2017.01); A61B 6/50 (2024.01); G06N 3/08 (2023.01); G06V 10/774 (2022.01); G16H 30/40 (2018.01)
CPC G06T 7/0012 (2013.01) [G06N 3/08 (2013.01); G06V 10/7747 (2022.01); G16H 30/40 (2018.01); A61B 6/501 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30016 (2013.01); G06V 2201/031 (2022.01)] 12 Claims
OG exemplary drawing
 
1. A learning device comprising at least one processor, wherein the processor is configured to:
acquire a learning image including a disease region and a first teacher label that specifies the disease region included in the learning image;
generate at least one second teacher label of which a criterion for specifying the disease region is different from the first teacher label on the basis of a standard deviation of a signal value of a region in the first teacher label; and
train a discriminator that detects a disease region included in a target image on the basis of the learning image, the first teacher label, and the at least one second teacher label, wherein the first teacher label and the second teacher label are respectively inputted to the discriminator for training.