Can artificial intelligence distinguish between malignant and benign mediastinal lymph nodes using sonographic features on EBUS images?

ÖZÇELİK N., ÖZÇELİK A. E., BÜLBÜL Y., ÖZTUNA F., ÖZLÜ T.

CURRENT MEDICAL RESEARCH AND OPINION, cilt.36, sa.12, ss.2019-2024, 2020 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 36 Sayı: 12
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1080/03007995.2020.1837763
  • Dergi Adı: CURRENT MEDICAL RESEARCH AND OPINION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, CINAHL, EMBASE, International Pharmaceutical Abstracts, MEDLINE, Public Affairs Index
  • Sayfa Sayıları: ss.2019-2024
  • Anahtar Kelimeler: Artificial neural networks, endobronchial ultrasound, interventional pulmonology, lung cancer, TRANSBRONCHIAL NEEDLE ASPIRATION, ENDOBRONCHIAL ULTRASOUND, LUNG-CANCER, NEURAL-NETWORKS, EDGE-DETECTION, CLASSIFICATION, DIFFERENTIATION, DIAGNOSIS, TEXTURE, LESIONS
  • Karadeniz Teknik Üniversitesi Adresli: Evet

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