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Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN) on Melanoma Skin Cancer Detection

International Conference on Sustainable Information Engineering and Technology, 2023
R. Hernandez   +5 more
semanticscholar   +1 more source

Computer-Aided Diagnosis of Skin Cancer: A Review.

Current Medical Imaging Reviews, 2020
Cancer is currently one of the main health issues in the world. Among different varieties of cancers, skin cancer is the most common cancer in the world and accounts for 75% of the world's cancer.
Navid Razmjooy   +7 more
semanticscholar   +1 more source

Skin cancer detection using ensemble of machine learning and deep learning techniques

Multimedia tools and applications, 2023
Jitendra V. Tembhurne   +3 more
semanticscholar   +1 more source

Skin Cancer

Medicine, 2000
Caroline M Owen, Nicholas R Telfer
openaire   +3 more sources

Skin Cancer Prevention

2005
Nonmelanoma skin cancer (NMSC) is the most common malignancy in the world, and the incidence continues to increase worldwide. It has been estimated that over three million new skin cancer cases occur annually in the USA (Rogers et al., Arch Dermatol 146:283–287, 2010; Donaldson and Coldiron, Semin Cutan Med Surg 30(1):3–5, 2011). While the incidence of
Maria Lluria-Prevatt   +2 more
openaire   +2 more sources

InSiNet: a deep convolutional approach to skin cancer detection and segmentation

Medical and Biological Engineering and Computing, 2022
H. Reis   +3 more
semanticscholar   +1 more source

CANCER OF THE SKIN

Archives of Surgery, 1926
Part I In the last twenty-five years, a great many instructive papers have been written on the various types of cancer of the skin. The majority of these contributions, however, have been made by specialists in some field of therapeutics, and consequently carry a certain amount of bias for a method of treatment.
openaire   +2 more sources

Cancer Statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L Siegel, Kimberly D Miller
exaly  

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