Page 302 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications

Index

Note: ‘Page numbers followed by “f” indicate figures and “t” indicate tables.’

Adaptive particle gray wolf target sites, 198 image interpretation, 256
optimization (APGWO), deep belief network (DBN), image segmentation, 257
181, 182fe184f, 186te187t 254 recognition, 256
AlexNet, 162e163, 163f deep learning, 247e249 Blockchain (BC) technology
Alzheimer’s disease, 210e211 architecture, 248f application layer, 88
Amplified fragment length deep neural networks attacks, 103e110
polymorphism (AFLP), CNN. See Convolutional BC structure vulnerabilities,
229 neural network (CNN) 103e104
Artificial neural networks (ANN), DBN. See Deep belief bundling transactions, 100f
156, 193f, 245e246, 283 network (DBN) consensus
Attention deficit hyperactivity GAN. See Generative delegated proof of stake
disorder (ADHD), adversarial networks (dPoS), 93
213e214 (GAN) leased proof of stake (lPoS),
Autism spectrum disorder, RNN. See Recurrent neural 93e94
212e213 network (RNN) proof approaches, 91e95
Automatic handwriting diseases diagnosis, 260 proof of activity, 95
generation, 83 DNAeRNA-binding proteins, proof of authority (PoA), 94
Automatic machine translation, 262 proof of believability (PoBi),
83, 194 drug infusion system, 260 93
environmental engineering, proof of burn, 95
Backpropagation algorithm, 271 197 proof of capacity
Bacterial pathogens, 223t gene expression prediction, (PoC), 92
Bidirectional long short-term 262e263 proof of elapsed time
memory, 147e148, 148f genetic engineering, 196 (PoET), 95
Biomedical engineering human factors engineering, proof of existence, 92e93
agricultural engineering, 197 196 proof of importance (PoI),
alternative splicing, 263 lifesaving technologies, 195 94
applications, 251e252 medical engineering, 196 proof of retrievability (PoR),
artificial intelligence (AI), omics, 261 95
245e246 protein-binding prediction, proof of stake (PoS), 93
artificial neural networks 261 proof of stake and velocity
(ANNs), 245e246 rehabilitation system, 260 (PoSV), 94
bioimaging, 246 Biomedical image analysis proof of weight, 94
bionics, 196 brain, body, and machine proof of work (PoW), 91
body, 247 interface, 258 round robin consensus
brain, 247 brainemachine interface, 258 model, 94
challenges, 197e198 cytopathology, 257e258 consensus layer, 88
ethical dilemmas, 197 histopathology, 257e258 consensus protocols,
funding, 198 image acquisition, 256 102te103t
privacy, 197 image detection, 256 consortium, 90