Eye fundus image-based diabetes and related disease classification method and equipment
A technology of fundus image and diabetes, which is applied in the field of classification of diabetes and related diseases, can solve problems such as inappropriateness, and achieve the effect of optimized classification performance and accurate classification results
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[0031] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
[0032] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as there is no conflict between them.
[0033] An embodiment of the present invention provides a method for constructing a classification model of diabetes and related diseases. This method involves a machine learning model, such as figure 1 The model shown includes a feature extraction network 11 and a plurality of output networks 12. The network mentioned...
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