Volumetric assessment of paranasal sinus opacification on computed tomography can be automated using a convolutional neural network.
Stephen M HumphriesJuan Pablo CentenoAleena M NotaryJustin GerowGiuseppe CicchettiRohit K KatialDaniel M BeswickVijay R RamakrishnanRafeul AlamDavid A LynchPublished in: International forum of allergy & rhinology (2020)
Segmentation of the paranasal sinuses on CT can be automated using a CNN, providing truly objective, volumetric quantitation of sinonasal inflammation.
Keyphrases
- convolutional neural network
- deep learning
- computed tomography
- dual energy
- positron emission tomography
- image quality
- machine learning
- contrast enhanced
- high throughput
- oxidative stress
- magnetic resonance imaging
- ms ms
- mass spectrometry
- high performance liquid chromatography
- solid phase extraction
- high resolution
- clinical evaluation