US 12,295,545 B2
Information processing apparatus, control method, and program
Ikuma Takahashi, Tokyo (JP); Maki Sano, Tokyo (JP); Kimiyasu Takoh, Tokyo (JP); Motoyasu Okutsu, Tokyo (JP); Chiemi Tanaka, Tokyo (JP); Masahiro Saikou, Tokyo (JP); Hitoshi Imaoka, Tokyo (JP); Kenichi Kamijo, Tokyo (JP); Ryuji Hamamoto, Tokyo (JP); Yutaka Saito, Tokyo (JP); and Masayoshi Yamada, Tokyo (JP)
Assigned to NEC CORPORATION, Tokyo (JP); and NATIONAL CANCER CENTER, Tokyo (JP)
Filed by NEC CORPORATION, Tokyo (JP); and NATIONAL CANCER CENTER, Tokyo (JP)
Filed on Mar. 11, 2024, as Appl. No. 18/601,521.
Application 18/601,521 is a continuation of application No. 17/274,713, granted, now 11,957,300, previously published as PCT/JP2019/035158, filed on Sep. 6, 2019.
Claims priority of application No. 2018-169722 (JP), filed on Sep. 11, 2018.
Prior Publication US 2024/0206700 A1, Jun. 27, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/00 (2017.01); A61B 1/00 (2006.01); H04N 5/272 (2006.01)
CPC A61B 1/000094 (2022.02) [A61B 1/0005 (2013.01); G06T 7/0012 (2013.01); H04N 5/272 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/30096 (2013.01)] 10 Claims
OG exemplary drawing
 
1. An information processing apparatus comprising:
at least one memory configured to store instructions; and
at least one processor configured to execute the instructions to:
detect an abnormal region inside a body by an optimized machine learning model from a captured image in which the inside of the body is imaged;
generate output information based on a number of detected abnormal regions which are detected and output the generated output information;
generate the output information including a value indicating the number of the detected abnormal regions;
include a second image, in which the value indicating the number of the detected abnormal regions is superimposed on the captured image, in the output information; and
in a case where a plurality of abnormal regions are detected from the captured image, for each of the plurality of abnormal regions, output the value indicating the number of the detected abnormal regions at a position having a predetermined relationship with the abnormal region.