| CPC G16H 30/40 (2018.01) [G06N 20/20 (2019.01); G06V 10/774 (2022.01); G16H 50/20 (2018.01)] | 12 Claims |
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1. An electronic device configured to determine medical images, the electronic device comprising:
a storage device storing a first machine learning model and a second machine learning model;
an input/output device; and
a processor coupled to the input/output device and the storage device,
wherein the processor is configured to obtain an input image and input the input image into the first machine learning model through the input/output device to generate a labeled image, wherein the labeled image comprises a plurality of area images,
wherein the processor is further configured to calculate a plurality of area dimensions associated with the plurality of area images and input the labeled image and the plurality of area dimensions into the second machine learning model to generate a plurality of area determination data respectively corresponding to the plurality of area images, wherein each of the plurality of area determination data is determined to be abnormal and to have abnormality grades if a difference between at least two of the area images is greater than a threshold value, and a determination result comprising the plurality of area determination data is displayed through the input/output device.
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