Corpus ID: 203630116

Recent advances in deep learning applied to skin cancer detection

@article{Pacheco2019RecentAI,
  title={Recent advances in deep learning applied to skin cancer detection},
  author={Andr{\'e} G. C. Pacheco and R. Krohling},
  journal={ArXiv},
  year={2019},
  volume={abs/1912.03280}
}
Skin cancer is a major public health problem around the world. Its early detection is very important to increase patient prognostics. However, the lack of qualified professionals and medical instruments are significant issues in this field. In this context, over the past few years, deep learning models applied to automated skin cancer detection have become a trend. In this paper, we present an overview of the recent advances reported in this field as well as a discussion about the challenges… Expand
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References

SHOWING 1-10 OF 55 REFERENCES
The impact of patient clinical information on automated skin cancer detection
  • 21
  • PDF
Experiments using deep learning for dermoscopy image analysis
  • 34
Skin lesion classification with ensembles of deep convolutional neural networks
  • B. Harangi
  • Computer Science, Medicine
  • J. Biomed. Informatics
  • 2018
  • 90
  • PDF
Deep learning ensembles for melanoma recognition in dermoscopy images
  • 254
  • PDF
Skin melanoma segmentation using recurrent and convolutional neural networks
  • 41
Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review
  • 110
A deep learning system for differential diagnosis of skin diseases
  • 55
  • Highly Influential
  • PDF
Data Augmentation for Skin Lesion Analysis
  • 67
  • PDF
(De) Constructing Bias on Skin Lesion Datasets
  • 20
  • PDF
...
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4
5
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