Table 2.

Transitions of the proposed ResExLBP and IRF based.

	Step	Size	Size of feature
Preprocessing	Load chest image	W x H x 3
	Grayscale conversion	W x H
	Resizing	512 × 512
Feature generation	Exemplar division	64 × 64 x 16
	Feature generation from exemplars with LBP	64 × 64 x 16	256 × 16
	Feature generation from pre-processed image	512 × 512	256
	Feature fusion		256 × 17 = 4352
Feature selection with IRF	Most meaningful feature selection		1459
Classification	Classify the selected feature by 5 traditional classifiers	Validation prediction vector with the size of 321