CPC G16H 50/20 (2018.01) [A61B 5/08 (2013.01); G06F 18/22 (2023.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06V 10/75 (2022.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G06T 2207/30061 (2013.01); G06V 10/759 (2022.01)] | 6 Claims |
1. A case retrieval method that is performed by a computing system, the case retrieval method comprising:
receiving a first medical image via user input;
obtaining information of at least one anatomical region in the first medical image segmented by image processing for the first medical image;
obtaining at least one first region providing information for assisting a diagnosis for a specified disease for the at least one anatomical region;
generating a first quantitative parameter for the at least one anatomical region based on a quantitative measurement condition capable of being measured for the at least one first region in the first medical image; and
retrieving at least one second medical image having a second quantitative parameter based on the first quantitative parameter of the first medical image from a database,
wherein the first quantitative parameter and the second quantitative parameter are related to a quantitative measurement of the at least one first region segmented into respective clusters classified into a plurality of groups that are classified by size of the at least one first region, and
wherein the retrieving the at least one second medical image retrieves the at least one second medical image using the first quantitative parameter and the second quantitative parameter related to the at least one first region extracted as at least one Low Attenuation Area (LAA) or at least one air trap region within the at least one anatomical region.
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