Mathematical morphology aided shape, texture and colour feature extraction from skin lesion for identification of malignant melanoma

2015 ◽  
Author(s):  
S. Chatterjee ◽  
D. Dey ◽  
S. Munshi
Keyword(s):  
Feature Extraction ◽  
Malignant Melanoma ◽  
Skin Lesion ◽  
Mathematical Morphology ◽  
Colour Feature

Colour Feature Extraction and Polynomial Algorithm for Classification of Lymphoma Images

2019 ◽  
pp. 262-271 ◽  
Author(s):  
Alessandro S. Martins ◽  
Leandro A. Neves ◽  
Paulo R. Faria ◽  
Thaína A. A. Tosta ◽  
Daniel O. T. Bruno ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Polynomial Algorithm ◽  
Colour Feature

scholarly journals SELECTED APPLICATIONS OF DEEP NEURAL NETWORKS IN SKIN LESION DIAGNOSTIC

2021 ◽  
Vol 11 (4) ◽  
pp. 18-21
Author(s):  
Magdalena Michalska
Keyword(s):  
Neural Networks ◽  
Malignant Melanoma ◽  
Skin Lesion ◽  
Deep Neural Networks ◽  
Skin Lesions ◽  
Multiclass Classification ◽  
Features Selection ◽  
Lesion Segmentation ◽  
Dermatological Diseases ◽  
Segmentation Process

The article provides an overview of selected applications of deep neural networks in the diagnosis of skin lesions from human dermatoscopic images, including many dermatological diseases, including very dangerous malignant melanoma. The lesion segmentation process, features selection and classification was described. Application examples of binary and multiclass classification are given. The described algorithms have been widely used in the diagnosis of skin lesions. The effectiveness, specificity, and accuracy of classifiers were compared and analysed based on available datasets.

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