Super U-Net: A modularized generalizable architecture

Beeche C., Singh J. P., Leader J. K., Gezer N. S., Oruwari A. P., Dansingani K. K., ...Daha Fazla

PATTERN RECOGNITION, cilt.128, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 128
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.patcog.2022.108669
  • Dergi Adı: PATTERN RECOGNITION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Applied Science & Technology Source, BIOSIS, Computer & Applied Sciences, INSPEC, MLA - Modern Language Association Database, zbMATH
  • Anahtar Kelimeler: Image segmentation, U-Net, Dynamic receptive field, Fusion upsampling, SEGMENTATION
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Objective: To develop and validate a novel convolutional neural network (CNN) termed Super U-Net for medical image segmentation.