Index

275

malignant, 18

brain tumor detection, 118

pre-processing and

enhancement, 118

Gaussian filter, 119

histogram equalization, 118

mean filter, 119

median filter, 119

segmentation, 122

clustering techniques, 132

edge based techniques, 128

region growing technique,

128

thresholding techniques,

123

watershed technique, 134

skull stripping, 120

brain tumor modeling, 145

brain tumors, 18

anaplastic astrocytoma, 167

brain lymphomas, 18

ependymoma, 19

glioblastoma multiforme, 19

glioma, 19

meningeal tumors, 18

microarray studies, 205

oligodendroglioma, 20

brain-computer interface (BCI),

174–182, 185, 187, 188

active BCI, 175, 179

hybrid BCI, 177

passive BCI, 175, 179

C

central nervous system lymphoma

(CNSL), 205, 209

microarray studies, 205

RNA-seq studies, 209

centrality, 229

cerebrospinal fluid (CSF), 258,

260

closeness centrality, 229

clustering, 204, 232

edge betweenness clustering,

233

fuzzy c-means, 133

hierarchical, 204

k-means, 132, 204

MST clustering, 233

spectral clustering, 234

clustering coefficient, 228

cognitive, 177, 181, 182, 185

coherence, 181

comparison between different

model combinations, 152

complex networks, 224

computer, 174, 175, 185

connectivity, 181, 185

connectome, 225

Cytoscape, 204, 256

D

data analysis, 202

Bioconductor, 203

R Programming, 203

deep learning (DL), 174, 182, 185

artificial neural networks

(ANN), 182

convolutional neural

networks (CNN), 182

deep neural networks (DNN),

182

generative adversarial

networks (GANs), 182

long short-term memory

networks (LSTMs), 182

transfer learning, 182

degree distribution, 227

depression, 23, 185

diagnosis, 174–176, 185

diffusion models, 146

diffusion tensor imaging, 148

E

ECoG, 177

edge based segmentation

Canny, 131

Laplacian of Gaussian, 132

Prewitt, 130

Roberts, 129