Application Research on Medical Image Feature Extraction Based on Neural Network
Fully Convolutional Networks(FCN)is a kind of neural network with depth structure,which is widely used in solving complex artificial intelligence problems,especially in image recognition and natural language processing.In the medical field,FCN can provide more reliable data for human health.This paper proposes an improved Adam deep learning algorithm to realize the extraction of image data of human livers;and by training and comparing hundreds images of human livers,we can see that it is helpful to improve the localization and accuracy of abnormal liver images.
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