Affiliation:
1. Huazhong University of Science and Technology
Abstract
Multimode optical fiber plays an important role in endoscope
miniaturization. With the development of deep learning and machine
learning, neural networks can be used to identify and classify speckle
patterns obtained at the fiber output. Based on the speckle pattern of
a HERLEV dataset cell image transmitted by a multimode fiber, this
paper studies the recognition accuracy of various types of speckle by
a support vector machine, K-nearest neighbor, and convolutional neural
network (Inception V3). Meanwhile, we propose an image classification
optimization algorithm based on improved Inception V3. The
experimental results show that the improved algorithm model is better
than the traditional machine learning method; the accuracy rate is
97.92%, which effectively improves the performance of the pathological
cell diagnosis deep learning model and lays a theoretical and
practical foundation for further clinical application.
Funder
National Natural Science Foundation of
China
Natural Science Foundation of
Shanghai
Subject
Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering
Cited by
2 articles.
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