scholarly journals A clinically interpretable convolutional neural network for the real time prediction of early squamous cell cancer of the esophagus; comparing diagnostic performance with a panel of expert European and Asian endoscopists

Author(s):  
M.A. Everson ◽  
L.C.G.P. Herrera ◽  
Hsiu-Po Wang ◽  
Ching-Tai Lee ◽  
Chen-Shuan Chung ◽  
...  
2019 ◽  
Vol 13 ◽  
pp. 174830261987360 ◽  
Author(s):  
Chuan-Wei Zhang ◽  
Meng-Yue Yang ◽  
Hong-Jun Zeng ◽  
Jian-Ping Wen

In this article, according to the real-time and accuracy requirements of advanced vehicle-assisted driving in pedestrian detection, an improved LeNet-5 convolutional neural network is proposed. Firstly, the structure of LeNet-5 network model is analyzed, and the structure and parameters of the network are improved and optimized on the basis of this network to get a new LeNet network model, and then it is used to detect pedestrians. Finally, the miss rate of the improved LeNet convolutional neural network is found to be 25% by contrast and analysis. The experiment proves that this method is better than SA-Fast R-CNN and classical LeNet-5 CNN algorithm.


2007 ◽  
Vol 83 (2) ◽  
pp. 139-147 ◽  
Author(s):  
Shaleen Kumar ◽  
Kislay Dimri ◽  
Rohini Khurana ◽  
Neeraj Rastogi ◽  
Koilpillai Joseph Maria Das ◽  
...  

2020 ◽  
Vol 30 (6) ◽  
pp. 3455-3461
Author(s):  
Jinrong Qu ◽  
Zhaoqi Wang ◽  
Jianjun Qin ◽  
Hongkai Zhang ◽  
Yan Zhao ◽  
...  

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