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Computational Medical Image Analysis

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.

Gorde:
Formatua: Online
Hizkuntza:ingelesa
Argitaratua: MDPI - Multidisciplinary Digital Publishing Institute 2024
Gaiak:
chaotic attractors
computer vision
disease diagnosis
encryption
computer-assisted diagnosis
convolutional neural networks
compressed sensing
holography cardiac cine MRI
l1-norm smooth approximations
hyperbolic tangent function
soft thresholding
breast cancer detection
magnification dependent
histopathology
BreakHis
IDC
Xception model
ResNet50 model
EfficientNetB0
40×
medical image dataset analysis
diagnosis
machine learning
deep learning
classification
digital pathology
histology image analysis
infrared thermal segmentation
regional neuraxial analgesia
random fourier features
class activation maps
artificial intelligence
oral health
X-ray imaging
electrophysiological (EEG) signals
support vector machine
random forest
decision tree
AdaBoost
Naive Bayes
linear discriminant analysis (LDA)
attention deficit hyperactivity disorder (ADHD)
skin cancer
image augmentation
GAN
geometric augmentation
image classification
interpretable technique
wound monitoring
hybrid learning
image segmentation
superpixel
regression
virtual DSC-MRI examination
perfusion descriptors
tracer concentration curves
brain model
pathology simulation
deep features
COVID-19
CT scan
n/a
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine
Sarrera elektronikoa:ONIX_20240704_9783725813940_223
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Gaia: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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