The results also indicated that the method had the highest accuracy for different types of images (98.58% ultrasound, 93.063% mammography, and 100% thermography). The highest accuracy in the SVM method was observed in the results of a research, which used an appropriate segmentation method for obtaining the desired area in the image. The shape and intensity of the extracted features had the most effect in the classification. The combination of gray-level co-occurrence matrix (GLCM) and Pratio features along with morphological features resulted in the highest accuracy.

Discussion Computerized diagnosis of breast cancer has a number of great advantages; thus, it is constantly being used by Breast Cancer Targets and Therapy 2018:10 Dovepress e c n e r e f e R 5 3 6 3 d e t r o p e R e c n a m r o f r e p 1 9 0 9 . : y c a r u c c A 2 8 1 8 . : y t i v i t i s n e S 0 0 1 : y t i c fi c e p S i 5 8 5 9 . : y c a r u c c A 6 9 : y t i v i t i s n e S 6 4 1 9 . : y t i c fi c e p S i s e g a t n a v d a s i D s s e g a t n a v d A n o i t c a r t x e e r u t a e f e r o f e b t e l e v r u c f o e s U l a c i g o o h p r o m d n a l l a r u t x e t d e n b m o C i s e r u t a e f m e t s y s S U f o s g n i t t e s f o t n e d n e p e d n g n e B i s i s o n g a i d e h t n s e n h c a m S U i t n e r e f f i d r o r e c n a c t s a e r b g n i y f i s s a l c r o f s e u q n h c e t i s e t u b i r t t A : s e r a u q s f

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