Detection of maxillary sinus fungal ball via 3-D CNN-based artificial intelligence: Fully automated system and clinical validation

This study aims to develop artificial intelligence (AI) system to automatically classify patients with maxillary sinus fungal ball (MFB), chronic rhinosinusitis (CRS), and healthy controls (HCs). We collected 512 coronal image sets from ostiomeatal unit computed tomography (OMU CT) performed on subj...

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Veröffentlicht in:	PloS one 2022-02, Vol.17 (2), p.e0263125-e0263125
Hauptverfasser:	Kim, Kyung-Su, Kim, Byung Kil, Chung, Myung Jin, Cho, Hyun Bin, Cho, Beak Hwan, Jung, Yong Gi
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Artificial neural networks Biology and Life Sciences Classification Computed tomography Computer and Information Sciences Datasets Deep Learning Diagnosis Engineering and Technology Evaluation Fungi Humans Maxillary sinus Maxillary Sinus - diagnostic imaging Maxillary Sinus - microbiology Maxillary Sinus - physiopathology Medical imaging Medical imaging equipment Medical personnel Medicine and Health Sciences Neural networks Neural Networks, Computer Otolaryngology People and Places Performance evaluation Physical Sciences Physicians Research and Analysis Methods Rhinosinusitis ROC Curve Sinusitis - diagnosis Sinusitis - diagnostic imaging Sinusitis - microbiology Sinusitis - physiopathology Tertiary Tomography, X-Ray Computed - methods Training
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