Skin cancer detection from dermoscopic images using deep learning and fuzzy k ‐means clustering

2021 ◽  
Author(s):  
Marriam Nawaz ◽  
Zahid Mehmood ◽  
Tahira Nazir ◽  
Rizwan Ali Naqvi ◽  
Amjad Rehman ◽  
...  
Keyword(s):  
Deep Learning ◽  
Skin Cancer ◽  
Cancer Detection ◽  
Skin Cancer Detection

scholarly journals Skin Lesion Classification Based on Deep Convolutional Neural Networks Architectures

2021 ◽  
Vol 2 (01) ◽  
pp. 41-51
Author(s):  
Jwan Saeed ◽  
Subhi Zeebaree
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Skin Cancer ◽  
Cancer Detection ◽  
Deep Convolutional Neural Networks ◽  
Color Structure ◽  
Malignant Skin ◽  
Dermatological Disorders ◽  
Detection And Diagnosis ◽  
Skin Cancer Detection

Skin cancer is among the primary cancer types that manifest due to various dermatological disorders, which may be further classified into several types based on morphological features, color, structure, and texture. The mortality rate of patients who have skin cancer is contingent on preliminary and rapid detection and diagnosis of malignant skin cancer cells. Limitations in current dermoscopic images, including shadow, artifact, and noise, affect image quality, which may hamper detection effort. Attempts to overcome these challenges have been made by analyzing the images using deep learning neural networks to perform skin cancer detection. In this paper, the authors review the state-of-the-art in authoritative deep learning concepts pertinent to skin cancer detection and classification.

Skin Cancer Detection and Severity Prediction Using Computer Vision and Deep Learning

2021 ◽  
pp. 295-304
Author(s):  
Sangeeta Parshionikar ◽  
Renjit Koshy ◽  
Aman Sheikh ◽  
Gauravi Phansalkar
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
Skin Cancer ◽  
Cancer Detection ◽  
Severity Prediction ◽  
Skin Cancer Detection
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