Deep Learning Based Integrated Classification and Image Retrieval System for Early Skin Cancer Detection

Author(s):  
Oyebisi Layode ◽  
Tasmeer Alam ◽  
Md Mahmudur Rahman
2021 ◽  
Vol 2 (01) ◽  
pp. 41-51
Author(s):  
Jwan Saeed ◽  
Subhi Zeebaree

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.


2021 ◽  
pp. 295-304
Author(s):  
Sangeeta Parshionikar ◽  
Renjit Koshy ◽  
Aman Sheikh ◽  
Gauravi Phansalkar

Author(s):  
Marriam Nawaz ◽  
Zahid Mehmood ◽  
Tahira Nazir ◽  
Rizwan Ali Naqvi ◽  
Amjad Rehman ◽  
...  

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