Detection skin cancer using SVM and snake model

Author(s):  
Prachya Bumrungkun ◽  
Kosin Chamnongthai ◽  
Wisarn Patchoo
Keyword(s):  
2021 ◽  
Vol 2021 ◽  
pp. 1-30
Author(s):  
Prachya Bumrungkun ◽  
Kosin Chamnongthai ◽  
Wisarn Patchoo

For active-contour-based surgery systems, the success of skin cancer boundary segmentation depends on the initialization point of the snake model, which is a task originally performed by skillful experts, and on the parameters set for the algorithms of active contour. This paper proposes initial geometrical templates and parameter sets for the active contour on skin cancer boundary segmentation. To establish initial geometrical templates and parameter sets for the active contour, first, template candidates, which are geometrically designed by users in advance, are simply calculated based on similarity with a skin cancer boundary, and the candidate with the least difference is selected as an initial template. Initially, all candidate templates are performed before the test with some selected skin cancer samples by randomly varying needed parameters to determine parameter sets for each template. The parameter set is therefore implicitly selected as the suitable set with the selected initial template. Experiments with 227 skin cancer samples were performed based on our proposed initial templates and parameter sets, and the results show 99.46% accuracy, 97.43% sensitivity, and 99.87% specificity approximately in which accuracy, sensitivity, and specificity were improved by 0.26%, 0.36%, and 0.26%, respectively, compared with the conventional method.


1971 ◽  
Vol 104 (2) ◽  
pp. 124-127 ◽  
Author(s):  
M. M. Schreiber
Keyword(s):  

2005 ◽  
Vol 36 (3) ◽  
pp. 29
Author(s):  
Nancy A. Melville
Keyword(s):  

2009 ◽  
Vol 40 (6) ◽  
pp. 13
Author(s):  
KATE JOHNSON
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document