Fundus optic disc and fovea centralis real-time detection device and method based on deep learning
A technology of deep learning and detection method, which is applied in the field of medical image processing to achieve the effects of improving detection accuracy, simplifying processing process and shortening detection time.
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[0036] The invention aims to realize the real-time detection of the optic disc and fovea of the fundus based on deep learning, and improve the detection accuracy and speed of the optic disc and fovea. The present invention builds a fundus optic disc and fovea detection network based on the single-stage multi-frame detection (Single Shot MultiBoxDetector, SSD) algorithm, and optimizes the parameters of the network model through multiple iterations to realize the detection of the optic disc and fovea center in a large number of fundus images. Real-time positioning. Method steps of the present invention are as follows:
[0037] Step 1: Construct training data set and test data set respectively;
[0038] Step 2: Build a multi-scale fundus optic disc and fovea detection network model based on the SSD algorithm;
[0039] Step 3: Input the training set into the network, get predictions through forward propagation and compare them with expert annotations, and optimize network para...
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