Lesion localization method for skin disease image
A technology for skin diseases and lesions, which is applied in the field of lesions localization of skin disease imaging, can solve the problems of lack of medical staff, large amount of data, and low accuracy of lesion localization, and achieve the effect of saving time and energy, improving efficiency, and making diagnosis fast and efficient
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[0022] In the present invention, the identification model of the skin disease and the generation model of the lesion candidate frame are trained, and then the template occlusion method is used to process the picture containing the candidate frame, thereby realizing the lesion location. The training data of the skin disease identification model is obtained by doctors marking a small amount of data, and is trained using Google inception v3 architecture and migration learning. The training data of the generative model of the candidate frame is obtained with the help of the doctor, the lesion area called the positive sample and the background image without the lesion called the negative sample, and then the OpenCV cascade training classifier is used to train the positive and negative samples. Generate xml documents, we generate lesion candidate frames through trained xml documents during testing. For the generated lesion candidate frame, we adopt the method of template occlusion, a...
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