Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm - El-Dahshan, El-Sayed A.; Mohsen, Heba M.; Revett, Kenneth; Salem, Abdel-Badeeh M. (Expert systems with applications, 2014)
Keywords: Applied sciences; Artificial intelligence; Biological and medical sciences; Brain; Classification; Computer science; control theory; systems; Computerized, statistical medical data processing and models in biomedicine; Connectionism. Neural networks; Diagnosis; Exact sciences and technology; Feature extractions; Human; Human brain tumors; Intelligent computer-aided diagnosis systems; Investigative techniques, diagnostic techniques (general aspects); Magnetic resonance; Magnetic resonance images; Magnetic resonance imaging; Medical imaging; Medical informatics; Medical management aid. Diagnosis aid; Medical sciences; Nervous system; Neural networks; Pattern recognition. Digital image processing. Computational geometry; Radiodiagnosis. Nmr imagery. Nmr spectrometry; Segmentation; Tumors; Human brain tumors; Medical imaging; Segmentation; Magnetic resonance images; Classification; Intelligent computer-aided diagnosis systems; Feature extractions; Medical informatics; Visual cortex; Image processing; Brain cancer; Feedback regulation; Backpropagation algorithm; Fixed image; Selection criterion; Computer assisted teaching; Diagnosis; Computer aided design; Pattern extraction; Capability index; Backpropagation; Computer vision; Dimensionality; Decision support system; Pattern recognition; Neural network; Malignant tumor; Discrete wavelet transforms; Nuclear magnetic resonance imaging; Image segmentation; Wavelet transformation; Automatic measurement; Feature extraction; Artificial intelligence; Cancer; Principal component analysis