PFP-LHCINCA: Pyramidal Fixed-Size Patch-Based Feature Extraction and Chi-Square Iterative Neighborhood Component Analysis for Automated Fetal Sex Classification on Ultrasound Images

Algorithm 1 Pseudocode of our proposal.

	Input: Fetus image (FI)
	Output: Results
(0)	Load fetus image dataset.
(1)	for k = 1 to do// represent the number of images
(2)	Read each image.
(3)	Resize image to 256 × 256 sized image.
(4)	Apply multiple average pooling to image and obtain pooled structure.
	is structure; defines the size of images.
(5)
(6)	for h = 0 to 4 do
(7)	for i = 1 to step 16 do
(8)	for j = 1 to step 16 do
(9)
(10)
(11)
(12)	end for j
(13)	end for i
(14)	end for h
(15)
(16)	end for k
(17)	Choose the best 1000 features from the .
(18)	Apply INCA to the selected 1000 features.
(19)	Feed the selected features to classifiers.