Hybrid multi-layered GMDH-type neural network self-selecting various neurons and its application to medical image diagnosis of liver cancer.
Tadashi KondoJunji UenoShoichiro TakaoPublished in: SCIS&ISIS (2012)
Keyphrases
- multi layered
- medical images
- group method of data handling
- neural network
- medical diagnosis
- ct images
- polynomial neural networks
- hybrid optimization algorithm
- neural learning
- fuzzy neural network
- medical imaging
- computed tomography
- cancer diagnosis
- computer aided diagnosis
- medical image segmentation
- ct data
- mr images
- region of interest
- medical image analysis
- early diagnosis
- fault diagnosis
- magnetic resonance
- medical image retrieval
- magnetic resonance images
- computer tomography
- medical data
- ct scans
- deformable models
- multi modality
- fuzzy rules
- imaging modalities
- medical image registration
- back propagation
- clinical practice
- magnetic resonance imaging
- fuzzy logic
- biomedical images
- mri images
- genetically optimized
- design procedure
- hidden layer
- neural network model
- prostate cancer
- soft tissue
- expert systems
- artificial neural networks
- neuron model
- breast cancer
- heart disease
- brain images
- clinical applications