| CPC G16H 30/40 (2018.01) [G06F 3/0482 (2013.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 11/00 (2013.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20092 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30096 (2013.01)] | 19 Claims |
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1. A medical image reading assistance apparatus for assisting reading of a medical image based on a medical artificial neural network, the medical image reading assistance apparatus comprising a computing system, wherein the computing system comprises at least one processor,
wherein the at least one processor is configured to:
acquire or receive a first analysis result obtained through inference of a first artificial neural network for a first medical image;
generate a first visualization format, which is a representative visualization format of the first medical image, based on the first analysis result; and
visualize the first medical image based on the first visualization format,
wherein the computing system further comprises a second artificial neural network formed as an artificial neural network that has received a plurality of second visualization formats selected by a professional for a plurality of third analysis results obtained for a plurality of second medical images and has learned a function of generating visualization formats based on relevance between the plurality of third analysis results and the plurality of second visualization formats, and
wherein the at least one processor is further configured to input the first analysis result to the second artificial neural network and control the second artificial neural network so that the first visualization format is acquired through inference of the second artificial neural network.
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