A deep neural network predicts survival after heart imaging better than cardiologists.
Alvaro UlloaLinyuan JingChristopher W. GoodDavid P. vanMaanenSushravya RaghunathJonathan D. SueverChristopher D. NeviusGregory J. WehnerDustin N. HartzelJoseph B. LeaderAmro AlsaidAalpen A. PatelH. Lester KirchnerChristopher M. HaggertyBrandon K. FornwaltPublished in: CoRR (2018)
Keyphrases
- neural network
- heart disease
- cardiac motion
- cardiac motion estimation
- artificial neural networks
- image processing
- high resolution
- neural network model
- image analysis
- imaging systems
- neural network is trained
- back propagation
- genetic algorithm
- left ventricle
- neural nets
- multilayer perceptron
- bp neural network
- feed forward
- fuzzy logic
- self organizing maps
- fault diagnosis
- medical diagnosis
- activation function
- medical imaging
- feed forward neural networks
- fuzzy artmap
- synthetic aperture
- computer vision
- cardiac imaging
- cardiac cycle
- survival analysis
- clinical applications
- multi layer perceptron
- multi layer