Lung Cancer Nodules Detection via an Adaptive Boosting Algorithm Based on Self-Normalized Multiview Convolutional Neural Network

Algorithm 1

The proposed AdaBoost-SNMV-CNN.

(1)	Input Lung CT images data
(2)	Base learnerSNMV-CNN
(3)	Learning cycles
(4)	Process initializes the weight distribution of CT images training samples
(5)
(6)	for do
(7)	Train the SNMV-CNN classifier from
(8)	Compute the training error of
(9)
(10)	Estimate the voting weight of
(11)	.
(12)	Update the weight distribution
(13)
(14)	Normalization factor
(15)
(16)	end for
(17)	Output