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

Mila EfimenkoAlexander IgnatevKonstantin A Koshechkin
Published in: BMC bioinformatics (2020)
According to the analyzed papers, neural networks show higher specificity, accuracy and sensitivity than dermatologists. Neural networks are able to evaluate features that might be unavailable to the naked human eye. Despite that, we need more datasets to confirm those statements. Nowadays machine learning becomes a helpful tool in early diagnosing skin diseases, especially melanoma.
Keyphrases
  • neural network
  • machine learning
  • endothelial cells
  • deep learning
  • healthcare
  • skin cancer
  • artificial intelligence
  • induced pluripotent stem cells
  • rna seq
  • wound healing