Page 305 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications

296 Index

Depression (Continued) substitution steganography, Health Care Corporation,
formal concept analysis (FCA), 17 267
134 Discriminator network, 253 Healthcare domain, 31f
Fuzzy formal concept analysis Dot blot immunobinding assay, Hominoid barricades, 206
(FFCA), 134 226 Huffman encoding technique,
hybrid approaches, 133e134, Double spending attacks 19
133t alternative history attack, 104
Lexicon-based approaches, cryptojacking, 105
125e127, 126t Finney attack, 104 Imageelanguage translations, 83
machine learningebased 51% (majority) attack, Image preprocessing, 158e161
approaches, 127e133 104e105 Innovative detection method
decision tree classifiers, race attack, 104 biogenic volatile organic
compounds (BVOCs), 231
127e128 smart contractebased attacks, lateral flow microarrays (LFA),
dependency parser, 130 105 231
linear classifiers, 127 volatile compounds, 231e232
probabilistic or generative Input image, 73
classifiers, 127 Edge-based segmentation Integer wavelet transform (IWT),
sentiment analysis, methods, 286e287 6e8
128e131 Embedding algorithm, 20
supervised machine Entertainment, 82
learning, 128e131, 129t Enzyme-linked immunosorbent Keras, 65e67
metaclassifiers, 131e133, 132t assay (ELISA), 225e226 backend, 65e66
proposed system architecture, TensorFlow vs., 2t, 64
137e141, 138f Feature extraction, 172e177,
sentiment analysis, 135e137 173f Labeled data set, 281
Feature selection (FS), 157, Lexicon-based approaches,
sentiment analysis (SA), 124
177e185 125e127, 126t
skip-gram model, 140e141,
Formal concept analysis (FCA), Long short-term memory,
140f
134 146e148, 146f
social media, 124
Fraud news detection, 193 output gate, 80
word embedding
Fuzzy formal concept analysis structure, 79e80, 79f
optimization, 141, 141f
(FFCA), 134
Digital image, 274e283, 276f
enhancement, 279 Machine learning (ML), 192, 280,
image processing steps, Generative adversarial networks 280f
277e280, 278f (GAN), 252e254 decision tree classifiers,
medical image formats, application, 254f 127e128
275e277 biomedicine applications, dependency parser, 130
noncontextual segmentation, 253e254 linear classifiers, 127
279 discriminator network, 253 probabilistic or generative
object recognition, 279e280 generator network, 252e253 classifiers, 127
segmentation, 279 neural networks, 2 sentiment analysis, 128e131
Discrete cosine transform Genomic sequencing supervised machine learning,
(DCT), 6e8 DNA methylation, 264 128e131, 129t
Discrete Fourier transform DNA sequencing, 264 Machine learning (ML)
(DFT), 6e8 GoogLeNet, 272 techniques, 25, 127e133
Discrete wavelet transform Google Translate app, 83 Markov random field
(DWT) Graphical depiction, 81f (MRF), 81
advantages, 15e16 Gray wolf optimization (GWO), Medical image processing
definition, 14e15 179e181, 179f analysis, 25