Sine-Net: A fully convolutional deep learning architecture for retinal blood vessel segmentation

ATLI İ., GEDİK O. S.

Engineering Science and Technology, an International Journal, vol.24, no.2, pp.271-283, 2021 (SCI-Expanded, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 24 Issue: 2
  • Publication Date: 2021
  • Doi Number: 10.1016/j.jestch.2020.07.008
  • Journal Name: Engineering Science and Technology, an International Journal
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, INSPEC, Directory of Open Access Journals
  • Page Numbers: pp.271-283
  • Keywords: Fully convolutional neural network, Blood vessel segmentation, Deep learning, Sine-Net
  • Ankara Yıldırım Beyazıt University Affiliated: Yes