Deep Learning in Medical Image Analysis

The accelerating power of deep learning in diagnosing diseases will empower physicians and speed up decision making in clinical environments. Applications of modern medical instruments and digitalization of medical care have generated enormous amounts of medical images in recent years. In this big d...

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Year of Publication:2021
Language:English
Physical Description:1 electronic resource (458 p.)
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spelling Zhang, Yudong edt
Deep Learning in Medical Image Analysis
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
1 electronic resource (458 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
The accelerating power of deep learning in diagnosing diseases will empower physicians and speed up decision making in clinical environments. Applications of modern medical instruments and digitalization of medical care have generated enormous amounts of medical images in recent years. In this big data arena, new deep learning methods and computational models for efficient data processing, analysis, and modeling of the generated data are crucially important for clinical applications and understanding the underlying biological process. This book presents and highlights novel algorithms, architectures, techniques, and applications of deep learning for medical image analysis.
English
interpretable/explainable machine learning
image classification
image processing
machine learning models
white box
black box
cancer prediction
deep learning
multimodal learning
convolutional neural networks
autism
fMRI
texture analysis
melanoma
glcm matrix
machine learning
classifiers
explainability
explainable AI
XAI
medical imaging
diagnosis
ARMD
change detection
unsupervised learning
microwave breast imaging
image reconstruction
tumor detection
digital pathology
whole slide image processing
multiple instance learning
deep learning classification
HER2
medical images
transfer learning
optimizers
neo-adjuvant treatment
tumour cellularity
cancer
breast cancer
diagnostics
imaging
computation
artificial intelligence
3D segmentation
active surface
discriminant analysis
PET imaging
medical image analysis
brain tumor
cervical cancer
colon cancer
lung cancer
computer vision
musculoskeletal images
lung disease detection
taxonomy
convolutional neural network
CycleGAN
data augmentation
dermoscopic images
domain transfer
macroscopic images
skin lesion segmentation
infection detection
COVID-19
X-ray images
bayesian inference
shifted-scaled dirichlet distribution
MCMC
gibbs sampling
object detection
surgical tools
open surgery
egocentric camera
computers in medicine
segmentation
MRI
ECG signal detection
portable monitoring devices
1D-convolutional neural network
medical image segmentation
domain adaptation
meta-learning
U-Net
computed tomography (CT)
magnetic resonance imaging (MRI)
low-dose
sparse-angle
quantitative comparison
3-0365-1469-4
3-0365-1470-8
Gorriz, Juan Manuel edt
Dong, Zhengchao edt
Zhang, Yudong oth
Gorriz, Juan Manuel oth
Dong, Zhengchao oth
language English
format eBook
author2 Gorriz, Juan Manuel
Dong, Zhengchao
Zhang, Yudong
Gorriz, Juan Manuel
Dong, Zhengchao
author_facet Gorriz, Juan Manuel
Dong, Zhengchao
Zhang, Yudong
Gorriz, Juan Manuel
Dong, Zhengchao
author2_variant y z yz
j m g jm jmg
z d zd
author2_role HerausgeberIn
HerausgeberIn
Sonstige
Sonstige
Sonstige
title Deep Learning in Medical Image Analysis
spellingShingle Deep Learning in Medical Image Analysis
title_full Deep Learning in Medical Image Analysis
title_fullStr Deep Learning in Medical Image Analysis
title_full_unstemmed Deep Learning in Medical Image Analysis
title_auth Deep Learning in Medical Image Analysis
title_new Deep Learning in Medical Image Analysis
title_sort deep learning in medical image analysis
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2021
physical 1 electronic resource (458 p.)
isbn 3-0365-1469-4
3-0365-1470-8
illustrated Not Illustrated
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