[Retracted] Predicting the Spread of Vessels in Initial Stage Cervical Cancer through Radiomics Strategy Based on Deep Learning Approach

Algorithm 1

Deep learning-based Radiomics strategy for cervical cancer prediction.

	Input: Test MRI images from datasets
	Output: Prediction of the cervical cancer (normal cell (or) abnormal cell)
	Initialize the number of specimen (Ns), tumor length (Lt), Image processing (Ip)
	While (not satisfied the termination condition)
	for i ranges (0, Ns)
	Randomly selected the specimen N1, N2, N3…….Ns then perform the operation
	for j ranges (0, Lt)
	If rand (0, 1) < rand(0, Lt) = = j
	Perform the image processing operation
	else
	Do not perform the image processing operation
	end if
	Get the new image (Nsn)
	end for
	end for
	for i in range (0, Ns)
	If tumor volume (Nsn) > tumor volume (Ns)
	Update cancer state (normal/abnormal)
	else
	Not update cancer Ns
	end if
	end for
	end while