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, vol.36, no.12, pp.2019-2024, 2020 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 36 Issue: 12
  • Publication Date: 2020
  • Doi Number: 10.1080/03007995.2020.1837763
  • Journal Name: CURRENT MEDICAL RESEARCH AND OPINION
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, CINAHL, EMBASE, International Pharmaceutical Abstracts, MEDLINE, Public Affairs Index
  • Page Numbers: pp.2019-2024
  • Keywords: 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 Technical University Affiliated: Yes

Abstract

Aims