Utility of deep learning for the diagnosis of otosclerosis on temporal bone CT.
Noriyuki FujimaV Carlota Andreu-ArasaKeita OnouePeter C WeberRichard D HubbellBindu N SettyOsamu SakaiPublished in: European radiology (2021)
• Deep learning can be a helpful tool for the diagnosis of otosclerosis on temporal bone CT. • Deep learning analyses with GoogLeNet and ResNet demonstrate non-inferiority when compared to the subspecialty trained radiologist. • Deep learning may be particularly useful in medical institutions without experienced radiologists.
Keyphrases
- deep learning
- artificial intelligence
- convolutional neural network
- machine learning
- computed tomography
- bone mineral density
- image quality
- healthcare
- contrast enhanced
- dual energy
- magnetic resonance imaging
- soft tissue
- positron emission tomography
- magnetic resonance
- body composition
- postmenopausal women
- high intensity