Resizing and cleaning of histopathological images using generative adversarial networks

Celik G., TALU M. F.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, cilt.554, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 554
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.physa.2019.122652
  • Dergi Adı: PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Artic & Antarctic Regions, Compendex, INSPEC, Public Affairs Index, zbMATH, Civil Engineering Abstracts
  • İnönü Üniversitesi Adresli: Evet

Özet

Bilinear and Bicubic interpolation techniques are frequently used to increase image resolution. These techniques with data modeling approach are replaced by intelligent systems that can learn automatically from data. SRGAN is a modern Generative Adversarial Network developed as an alternative to classical interpolation techniques. His ability to produce images in super resolution has attracted the attention of many researchers.