Identification and Classification of Lungs Focal Opacity Using CNN Segmentation and Optimal Feature Selection

Algorithm 1

Pseudocode for the proposed system.

	Input: Images = {Img1, Img2, Img3,..........Imgn}
	Start: record (img) ⟵ 1....n
	While (record (img)! = eof){
	CNN: Convolutional neural network for segmentation
	HOG: Extracting HOG Features
	LBP: Extraction LBP Features
	Geometric: Extracting Geometric Features
	Feature_Combine: (HOG, LBP, Geometric)
	Selected: CT-scans ()
	Labels: Annotations (malignant, normal)
	Class ⟵ (KNN (Selected, CL, testSet), SVM (Selected, CL, testSet))
	r = 1;
	While (r ≤ n)
	{
	IF (Class (r)) ⟵ Malignant
	{
	Output “Cancer Detected”
	ELSE IF (Class (r)) ⟵ Normal
	Output “Normal Nodule”
	} STOP