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Artificial Intelligence in Clinical Medical Imaging

The integration of artificial intelligence (AI) has propelled significant advancements in clinical medical imaging, offering unprecedented accuracy and efficiency in diagnostic procedures and treatment strategies. This transformative shift has permeated every sector of medical imaging, from traditio...

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Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2024
Subjects:
n/a
dynamic contrast-enhanced imaging
segmentation
lesion detection
small liver tumor
convolutional neural network
deep learning
CNN
diabetic retinopathy
fundus image
pooling function
functional MRI
resting state
augmentation
autism
coronary angiography
coronary artery stenosis detection
one-stage detection
without segmentation
bone metastasis segmentation
Double U-Net
pre-train
negative mining
transfer learning
brain tumor classification
residual networks
vanishing gradient
feature learning
medical diagnostics
adaptive partitioning
explainable AI
kidney tumor segmentation
optimization
weight pruning
UNet-PWP
DeepLabV3+
GCAM-attention
cardiovascular diseases
acute myocardial infarction
fractional flow reserve
machine learning
ensemble
random forest
3D reconstruction
artificial intelligence
autism spectrum disorders
fMRI
lumbar disc bulging
herniated intervertebral disc
disc height
decision tree
plain radiography
magnetic resonance imaging
glaucoma
image analysis
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologies::TDC Industrial chemistry and chemical engineering::TDCW Pharmaceutical chemistry and technology
Online Access:ONIX_20240514_9783725808762_503
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Summary:The integration of artificial intelligence (AI) has propelled significant advancements in clinical medical imaging, offering unprecedented accuracy and efficiency in diagnostic procedures and treatment strategies. This transformative shift has permeated every sector of medical imaging, from traditional organ diagnostics to the dynamic realms of digital pathology and dermatology, where AI acts as a catalyst for innovation and progress. Now, consolidated into a reprint, the Special Issue titled "Artificial Intelligence in Clinical Medical Imaging" comprises 14 comprehensive contributions, ranging from insightful editorials to cutting-edge scientific articles, reviews, and commentaries.

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