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Hair Segmentation and Removal in Dermoscopic Images Using Deep Learning

  • Published:2021 Issue: Volume:9 Page:2694-2704
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Talavera-Martinez LidiaORCID,Bibiloni PedroORCID,Gonzalez-Hidalgo ManuelORCID

Funder

Spanish Grant FEDER/Ministerio de Economía, Industria y Competitividad

Ministry of Economy, Industry and Competitiveness through a program co-financed by the European Social Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 33 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computer-Aided Classification of Melanoma: A Comprehensive Survey;Archives of Computational Methods in Engineering;2024-06-06

2. GAD-VAE: generative adversarial disentanglement with variational autoencoders for hair removal in dermoscopy images;Network Modeling Analysis in Health Informatics and Bioinformatics;2024-06-05

3. Deep Learning Technique for Dermoscopy Image Processing Model for Early Melanoma Detection;2024 International Conference on Expert Clouds and Applications (ICOECA);2024-04-18

4. Cilt Kanseri Görüntülerinde Gürültü Temizliği ve Lezyonun Dört Sınıfa Ayrılması;Afyon Kocatepe University Journal of Sciences and Engineering;2024-04-14

5. MSPAN: Multi‐scale pyramid attention network for efficient skin cancer lesion segmentation;IET Image Processing;2024-04-08
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