Review of medical image recognition technologies to detect melanomas using neural networks

Review of medical image recognition technologies to detect melanomas using neural networks

Abstract Background Melanoma is one of the most aggressive types of cancer that has become a world-class problem. According to the World Health Organization estimates, 132,000 cases of the disease and 66,000 deaths from malignant melanoma and other forms of skin cancer are reported annually worldwid...

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Bibliographic Details
Main Authors: Mila Efimenko, Alexander Ignatev, Konstantin Koshechkin
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Bioinformatics
Subjects:
Melanoma classification
Skin cancer
Deep learning neural network
Convolutional neural network
Fuzzy clustering algorithm
Online Access:http://link.springer.com/article/10.1186/s12859-020-03615-1

Internet

http://link.springer.com/article/10.1186/s12859-020-03615-1

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