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Anomaly Detection of Arm X-Ray Based on Deep Learning
3
Zitationen
1
Autoren
2020
Jahr
Abstract
Abstract The goal of this paper is to determine whether the arm has a fracture by detecting the X-ray of the human arm. This paper used the Keras deep learning framework and use the NASNetMobile model for training. The data set is MURA-v1.1, and the test accuracy on the verification set is about 70%. After downloading X-ray photographs of fractured arms, this paper performed an anomaly detection of the single image to test the accuracy of the model.
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