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Skin disease diagnosis with deep learning: A review

  • Published:2021-11 Issue: Volume:464 Page:364-393
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Li Hongfeng,Pan Yini,Zhao Jie,Zhang Li

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Peking University

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference249 articles.

1. Skin cancer epidemiology, detection, and management;Gandhi;Med. Clin.,2015

2. Vital signs: melanoma incidence and mortality trends and projectionsnited states, 1982–2030, MMWR;Guy;Morb. Mortal. Weekly Rep.,2015

3. Prevalence of a history of skin cancer in 2007: results of an incidence-based model;Stern;Arch. Dermatol.,2010

4. American cancer society. cancer facts and figures 2014;Tarver;J. Consum. Health Internet,2012

5. The american cancer society, URL:https://www.cancer.org/cancer/melanoma-skin-cancer/about/key-statistics.html, accessed Dec. 02, 2020.

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3. DermSynth3D: Synthesis of in-the-wild annotated dermatology images;Medical Image Analysis;2024-07

4. Machine Learning Based Skin Disease Detection Using Semi-Automatic Image Segmentation;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28

5. EfficientSkinSegNet: a lightweight convolutional neural network for accurate skin lesion segmentation;Physica Scripta;2024-06-05
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