CPC G06T 7/0016 (2013.01) [A61B 5/0077 (2013.01); A61B 5/447 (2013.01); A61B 5/4842 (2013.01); A61B 5/7267 (2013.01); G06T 7/74 (2017.01); G06V 10/7747 (2022.01); G06V 10/82 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30088 (2013.01)] | 12 Claims |
1. An operating method of a bedsore management device, the operating method comprising:
acquiring image data of a plurality of existing bedsores;
acquiring existing bedsore-related information corresponding to the image data of the plurality of existing bedsores;
training a convolutional neural network (CNN) with relationships between the image data of the plurality of existing bedsores and the existing bedsore-related information to acquire a machine learning model;
acquiring bedsore image data of a current patient;
applying the machine learning model to the bedsore image data of the current patient to determine information on a bedsore or bedsore treatment information of the current patient; and
outputting the information on the bedsore or the bedsore treatment information of the current patient,
wherein the existing bedsore-related information includes at least one of bedsore stage information of the existing bedsores, bedsore diagnosis information of the existing bedsores, bedsore location information of the existing bedsores in the image data, and existing bedsore treatment information of the existing bedsores,
the information on the bedsore of the current patient includes at least one of bedsore stage information and bedsore diagnosis information of the current patient, and
the bedsore treatment information includes dressing information for treating a bedsore.
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