US 12,293,571 B2
Image processing system, image processing device, endoscope system, interface, image processing method and information storage medium
Hidekazu Iwaki, Hachioji (JP); and Taisei Kondo, Sapporo (JP)
Assigned to OLYMPUS CORPORATION, Tokyo (JP)
Filed by OLYMPUS CORPORATION, Tokyo (JP)
Filed on Jun. 17, 2022, as Appl. No. 17/842,952.
Application 17/842,952 is a continuation of application No. PCT/JP2020/010293, filed on Mar. 10, 2020.
Prior Publication US 2022/0319153 A1, Oct. 6, 2022
Int. Cl. G06T 7/73 (2017.01); G06T 7/00 (2017.01); G06V 10/774 (2022.01)
CPC G06V 10/774 (2022.01) [G06T 7/0012 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20092 (2013.01); G06T 2207/30004 (2013.01); G06V 2201/03 (2022.01); G06V 2201/10 (2022.01)] 20 Claims
OG exemplary drawing
 
20. A non-transitory information storage medium storing a program, the program causing a computer to at least execute:
acquiring an annotation result on a learning image captured inside a living body;
acquiring metadata including difficulty information indicating difficulty of annotating the learning image;
determining reliability information indicating reliability of the annotation result based on the metadata; and
outputting, as data used in generating a trained model used in inference based on deep learning on an inference target image captured inside a living body, a dataset in which the learning image, the annotation result, and the reliability information are associated with each other.