Diagnosis of brain disease based on the deep learning algorithms of neural imaging techniques.
Qian WangPublished in: J. Intell. Fuzzy Syst. (2024)
Keyphrases
- disease progression
- single photon emission computed tomography
- learning algorithm
- neurodegenerative diseases
- deep architectures
- spect images
- diagnostic tool
- mathematical modeling
- disease diagnosis
- early diagnosis
- computational neuroscience
- brain imaging
- diagnostic process
- medical doctors
- clinically relevant
- biologically plausible
- clinical applications
- functional connectivity
- statistical parametric mapping
- spike trains
- network architecture
- model based diagnosis
- machine learning
- caudate nucleus
- breast cancer detection
- multiple sclerosis
- neural network
- deep learning
- human brain
- event related potentials
- cardiovascular disease
- image processing
- machine learning algorithms
- attention deficit hyperactivity disorder
- optic nerve
- cross sectional
- magnetic resonance images
- positron emission tomography
- magnetic resonance imaging
- medical imaging
- medical diagnosis
- high resolution
- image analysis
- primary visual cortex
- computer aided diagnosis
- sensory inputs
- basal ganglia
- prostate cancer
- clinical trials
- brain images
- neuronal networks
- medical practitioners
- breast cancer
- sensory motor
- blood vessels