Direct head-to-head comparison of convolutional long short-term memory and transformer networks for artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary CT angiography.
Nipun ManralAndrew LinCaroline ParkPriscilla McElhinneyAditya KillekarHidenari MatsumotoJacek KwiecinskiKonrad PieszkoAryabod RazipourKajetan GrodeckiMhairi DorisAlan C. KwanDonghee HanKeiichiro KuronumaGuadalupe Flores TomasinoEvangelos TzolosAakash D. ShanbhagMarkus GoellerMohamed MarwanSebastien CadetStephen AchenbachStephen J. NichollsDennis T. WongDaniel S. BermanMarc R. DweckDavid E. NewbyMichelle C. WilliamsPiotr J. SlomkaDamini DeyPublished in: Medical Imaging: Image Processing (2023)
Keyphrases
- coronary artery
- coronary artery disease
- ct data
- artificial intelligence
- intravascular ultrasound
- head images
- imaging modalities
- post mortem
- optical coherence tomography
- medical images
- computer aided
- cardiovascular disease
- myocardial perfusion
- x ray
- three dimensional
- fault diagnosis
- recurrent neural networks
- image guided
- fuzzy logic
- neural network