Deep learning model developed by multiparametric MRI in differential diagnosis of parotid gland tumors.

Journal: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery

Published Date: May 21, 2022

Abstract

PURPOSE: To create a new artificial intelligence approach based on deep learning (DL) from multiparametric MRI in the differential diagnosis of common parotid tumors.

Authors

Emrah Gündüz

Department of Otorhinolaryngology-Head and Neck Surgery, Malatya Training Research Hospital, Malatya, Turkey.
Ömer Faruk Alçin

Department of Electric and Electronics Engineering, Faculty of Engineering and Natural Sciences, Malatya Turgut Ozal University.
Ahmet Kizilay

Department of Otorhinolaryngology Head and Neck Surgery, Inonu University Faculty of Medicine, Malatya, Turkey.
Ismail Okan Yildirim

Department of Radiology, Inonu University Faculty of Medicine, Malatya, Turkey.

Keywords

Artificial Intelligence Deep Learning Diagnosis, Differential Humans Multiparametric Magnetic Resonance Imaging Parotid Gland Parotid Neoplasms

External Resources

View on PubMed Access via DOI PubMed (35596805)

Deep learning model developed by multiparametric MRI in differential diagnosis of parotid gland tumors.

Abstract

Authors

Keywords

External Resources

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