Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review

. 2023 Oct 7;13(19):3147. doi: 10.3390/diagnostics13193147

Algorithm 2 Pseudocode for generating potential review papers

$S e a r c h D a t a b a s e s \leftarrow S p r i n g e r_L i n k, M D P I, S c i e n c e_D i r e c t, W i l e y_O n l i n e, I E E E_X p l o r e, G o o g l e_n S c h o l a r$

{Initialization:}
Area_Keyword $\leftarrow [S k i n, S k i n_d i s e a s e, S k i n_c a n c e r, M e l a n o m a]$
Method_keywords $\leftarrow [D e e p_L e a r n i n g_M e t h o d s, C l a s s i c a l_M a c h i n e_L e a r n i n g_M e t h o d s, H y b r i d M e t h o d]$
Target_keywords $\leftarrow [D e t e c t i o n, C l a s s i f i c a t i o n, S e g m e n t a t i o n]$
Search_String $\leftarrow “ A l g o r i t h m 1 ”$
for $k e y w o r d \in A r e a_k e y w o r d s$ do
for $t a r g e t \in T a r g e t_k e y w o r d s$ do
for $m e t h o d \in M e t h o d_k e y w o r d s$ do
Search_String $= A l g o r i t h m 1$
for $d a t a b a s e \in D a t a b a s e s$ do
$L i s t 1 \leftarrow d a t a b a s e s . search (S e a r c h_S t r i n g)$
end for
end for
end for
end for
Inclusion_Criteria = [IC1,IC2,IC3,IC4,IC5,IC6]
Exclusion_Criteria = [EC1,EC2,EC3,EC4, EC5,EC6]
List2 $\leftarrow A p p l y . I n c l u s i o n_C r i t e r a (L i s t 1)$
Final_Lists $\leftarrow A p p l y . I n c l u s i o n_C r i t e r a (L i s t 2)$