Cloud Computing-Based Framework for Breast Tumor Image Classification Using Fusion of AlexNet and GLCM Texture Features with Ensemble Multi-Kernel Support Vector Machine (MK-SVM)

Algorithm 1 Proposed process.

(1)	Input: Mammography medical image
(2)	Extracting features from using AlexNet architecture
	(a) Performing CONV1, CONV2, CONV3, CONV4, and CONV5
	(b) Performing FC6 and FC7
	(c) Extracting 4096 features.
(3)	Extracting features from using the GLCM method
	(a) Formation of the cooccurrence matrix using with
	(b) Extracting 20 texture features
(4)	Fusion of features (AlexNet + GLCM) using the concatenation method extracted from
(5)	Classifying fusion features of using MK SVM
(6)	Output: accuracy, precision, confusion_matrix, recall, F_score