A classification method for seborrheic keratosis and flat wart
A seborrheic keratosis and classification method technology, applied in the field of seborrheic keratosis and flat wart disease classification, can solve the problems that patients are difficult to accept, the accuracy rate is not high enough, and the proportion of pictures with diagnostic value is not high, so as to save Time and effort, improved efficiency, fast and efficient diagnosis
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[0028] Such as figure 1 As shown, the present invention is based on the obvious characteristics of the microstructure of the two diseases, seborrheic keratosis and flat wart, and obtains the identification model of the two diseases by training the confocal microscope images of the two diseases. The training data of the model is obtained by the deep learning method of automatically increasing the data set with a small amount of labeled data, and it is trained using the Google inceptionv3 architecture and migration learning. First, collect the picture data that has been marked by professional doctors, and then use these data for training to obtain an incremental model for automatic increment of feature pictures, and automatically mark unlabeled pictures through the incremental model, so as to obtain a large number of marked features pictures, and use these pictures to train the classifier. This solution does not require professional doctors to annotate a large number of picture...
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