A Computational Approach to Pertinent Feature Extraction for Diagnosis of Melanoma Skin Lesion

2019 ◽  
Vol 29 (3) ◽  
pp. 503-514
Author(s):  
Sharmin Majumder ◽  
Muhammad Ahsan Ullah
Keyword(s):  
Feature Extraction ◽  
Skin Lesion ◽  
Computational Approach ◽  
Pertinent Feature ◽  
Melanoma Skin

scholarly journals Segmentation of Melanoma Skin Lesion Using Perceptual Color Difference Saliency with Morphological Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Oludayo O. Olugbara ◽  
Tunmike B. Taiwo ◽  
Delene Heukelman
Keyword(s):  
Image Segmentation ◽  
Skin Lesion ◽  
Morphological Analysis ◽  
Color Difference ◽  
Cancer Disease ◽  
Essential Requirement ◽  
Segmentation Algorithms ◽  
Death Cases ◽  
Aided Diagnosis ◽  
Melanoma Skin

The prevalence of melanoma skin cancer disease is rapidly increasing as recorded death cases of its patients continue to annually escalate. Reliable segmentation of skin lesion is one essential requirement of an efficient noninvasive computer aided diagnosis tool for accelerating the identification process of melanoma. This paper presents a new algorithm based on perceptual color difference saliency along with binary morphological analysis for segmentation of melanoma skin lesion in dermoscopic images. The new algorithm is compared with existing image segmentation algorithms on benchmark dermoscopic images acquired from public corpora. Results of both qualitative and quantitative evaluations of the new algorithm are encouraging as the algorithm performs excellently in comparison with the existing image segmentation algorithms.

scholarly journals First-order Feature Extraction Methods for Image Texture and Melanoma Skin Cancer Detection

2019 ◽  
Vol 1230 ◽  
pp. 012013 ◽  
Author(s):  
Masna Wati ◽  
Haviluddin ◽  
Novianti Puspitasari ◽  
Edy Budiman ◽  
Robbi Rahim
Keyword(s):  
Feature Extraction ◽  
Skin Cancer ◽  
Cancer Detection ◽  
Extraction Methods ◽  
Image Texture ◽  
First Order ◽  
Skin Cancer Detection ◽  
Melanoma Skin
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