A comparison of the fusion model of deep learning neural networks with human observation for lung nodule detection and classification

GÜRSOY ÇORUH A., Yenigun B., UZUN Ç., KAHYA Y., BÜYÜKCERAN E. U., ELHAN A. H., ...Daha Fazla

BRITISH JOURNAL OF RADIOLOGY, cilt.94, sa.1123, 2021 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 94 Sayı: 1123
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1259/bjr.20210222
  • Dergi Adı: BRITISH JOURNAL OF RADIOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, CAB Abstracts, CINAHL, EMBASE, MEDLINE, Veterinary Science Database
  • Ankara Üniversitesi Adresli: Evet

Özet

Objectives: To compare the diagnostic performance of a newly developed artificial intelligence (AI) algorithm derived from the fusion of convolution neural networks (CNN) versus human observers in the estimation of malignancy risk in pulmonary nodules.