Research on Lung Medical Image based on Convolution Neural Network Algorithm

Content Provider	Scilit
Author	Xu, Yipeng Zhu, Yiming Chen, Zhongrun
Copyright Year	2021
Description	Journal: Journal of Physics: Conference Series In the field of medical image processing, the convolution neural network (CNN) algorithm in depth learning solves many problems in machine vision.Aiming at the problems of low resolution of medical images and easy misjudgment of artificial recognition, in order to help medical workers to better identify the lesion area, this paper discusses the structure optimization, training and prediction ability of CNN, and trains the convolution neural network to judge the lesion area in the image.and get more accurate discriminant results on lung images, further verify the high efficiency, accuracy and reliability of convolutional neural network algorithm in medical image field.
Related Links	https://iopscience.iop.org/article/10.1088/1742-6596/1802/3/032111/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/1802/3/032111
Journal	Journal of Physics: Conference Series
Issue Number	3
Volume Number	1802
Language	English
Publisher	IOP Publishing
Publisher Date	2021-03-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Hardware and Architecture Neural Network Algorithm Convolution Neural Network
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy