US 11,914,918 B2
Medical information processing apparatus, medical information processing method, and non-transitory computer-readable storage medium
Yoshihito Machida, Kanagawa (JP); Yoshinori Hirano, Chiba (JP); Hideaki Miyamoto, Tokyo (JP); and Daisuke Yamada, Kanagawa (JP)
Assigned to CANON KABUSHIKI KAISHA, Tokyo (JP)
Filed by CANON KABUSHIKI KAISHA, Tokyo (JP)
Filed on Feb. 1, 2021, as Appl. No. 17/163,888.
Application 17/163,888 is a continuation of application No. PCT/JP2019/026009, filed on Jul. 1, 2019.
Claims priority of application No. 2018-152720 (JP), filed on Aug. 14, 2018.
Prior Publication US 2021/0158105 A1, May 27, 2021
Int. Cl. G06F 3/14 (2006.01); G06F 18/214 (2023.01); G06F 18/21 (2023.01); G06F 18/40 (2023.01); G09G 5/14 (2006.01); G06F 3/147 (2006.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01); G06V 10/774 (2022.01); G06V 10/778 (2022.01); G06V 10/94 (2022.01)
CPC G06F 3/147 (2013.01) [G06F 3/14 (2013.01); G06F 18/214 (2023.01); G06F 18/2178 (2023.01); G06F 18/40 (2023.01); G06V 10/774 (2022.01); G06V 10/7784 (2022.01); G06V 10/945 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06V 2201/03 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A medical information processing apparatus, comprising:
at least one of (a) one or more processors connected to one or more memories storing a program including instructions executed by the one or more processors and (b) circuitry configured to perform:
obtaining medical information;
learning on a function of the medical information processing apparatus using the medical information, wherein the learning is performed for at least one of image recognition in which region information is obtained as a result of processing by the function, image processing in which an image processing condition is obtained as a result of processing by the function, and diagnostic support in which lesion position information is obtained as a result of processing by the function;
evaluating a learning result obtained through learning on at least one of the image recognition, the image processing, and the diagnostic support using a comparison result obtained by comparing, for each corresponding pixel, a result obtained by processing a medical image included in an evaluation data, wherein the evaluation date is for evaluating the learning result by the learning, and the evaluation data includes the medical image and the correct-answer data in which a correct answer for at least one of the image recognition, the image processing, and the diagnostic support is known; and
accepting an instruction to apply the learning result to the function.