The accuracy of deep learning models for diagnosing maxillary fungal ball rhinosinusitis.

Pakapoom SukswaiNarit HnoohomMinh Phuoc HoangSongklot AeumjaturapatSupinda ChusakulJesada KanjanaumpornKachorn SeresirikachornKornkiat Snidvongs

Published in: 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 (2024)

Utilizing paranasal sinus CT imaging with enhanced localization and constructive instance segmentation in deep learning models can be the practical promising deep learning system in assisting physicians for diagnosing maxillary fungal ball.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
machine learning
primary care
high resolution
computed tomography
cone beam computed tomography
contrast enhanced
image quality
cell wall
mass spectrometry