CPC A61B 3/0025 (2013.01) [G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); G06T 7/0012 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30096 (2013.01)] | 20 Claims |
1. A system for recognizing a diabetic retinopathy, comprising:
a first neural network configured to generate a first advanced feature set from a target retinal fundus image;
a second neural network configured to generate a second advanced feature set from a reference retinal fundus image;
a feature combination module configured to combine the first advanced feature set and the second advanced feature set to form a feature combination set; and
a third neural network configured to generate a diagnosis result according to the feature combination set;
wherein:
the target retinal fundus image and the reference retinal fundus image are taken from one person; and
fundus images of a same resolution are used during a training process of the system.
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