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

Journal: Current medical research and opinion

Published Date: Oct 24, 2020

Abstract

AIMS: This study aimed to develop a new intelligent diagnostic approach using an artificial neural network (ANN). Moreover, we investigated whether the learning-method-guided quantitative analysis approach adequately described mediastinal lymphadenopathies on endobronchial ultrasound (EBUS) images.

Authors

Neslihan Ozcelik

Pulmonary Medicine, Recep Tayyip Erdogan University, Rize, Turkey.
Ali Erdem Ozcelik

Geomatics Engineering, Recep Tayyip Erdogan University, Rize, Turkey.
Yilmaz Bulbul

Pulmonary Medicine, Karadeniz Technical University, Trabzon, Turkey.
Funda Oztuna

Pulmonary Medicine, Karadeniz Technical University, Trabzon, Turkey.
Tevfik Ozlu

Pulmonary Medicine, Karadeniz Technical University, Trabzon, Turkey.

Keywords

Adult Aged Aged, 80 and over Artificial Intelligence Diagnosis, Computer-Assisted Female Humans Image Processing, Computer-Assisted Lymph Nodes Male Mediastinum Middle Aged Predictive Value of Tests Ultrasonography Young Adult

External Resources

View on PubMed Access via DOI PubMed (33054411)

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

Abstract

Authors

Keywords

External Resources

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