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Computational Medical Image Analysis
Anando Sen (editor)
2024
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This Special Issue covers a variety of computational applications in medical image analysis. With a vast majority of the articles reporting on machine learning or deep learning-based methodologies, it highlights the transistion toward artificial intelligence over the past decade.
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Keywords
- 40×
- AdaBoost
- artificial intelligence
- Attention Deficit Hyperactivity Disorder (ADHD)
- brain model
- BreakHis
- breast cancer detection
- chaotic attractors
- class activation maps
- Classification
- compressed sensing
- Computer vision
- Computer-assisted diagnosis
- convolutional neural networks
- COVID-19
- CT scan
- decision tree
- deep features
- deep learning
- Diagnosis
- digital pathology
- disease diagnosis
- EfficientNetB0
- electrophysiological (EEG) signals
- encryption
- GaN
- geometric augmentation
- histology image analysis
- histopathology
- holography cardiac cine MRI
- hybrid learning
- hyperbolic tangent function
- IDC
- image augmentation
- image classification
- image segmentation
- infrared thermal segmentation
- interpretable technique
- l1-norm smooth approximations
- linear discriminant analysis (LDA)
- Machine learning
- magnification dependent
- medical image dataset analysis
- n/a
- naïve Bayes
- oral health
- pathology simulation
- perfusion descriptors
- random forest
- random fourier features
- regional neuraxial analgesia
- régression
- ResNet50 model
- skin cancer
- soft thresholding
- superpixel
- support vector machine
- thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine
- tracer concentration curves
- virtual DSC-MRI examination
- wound monitoring
- X-ray imaging
- Xception model
Links
DOI: 10.3390/books978-3-7258-1393-3Editions