Medicine & Life Sciences
Deep Learning
100%
Noise
83%
Photons
67%
Tomography
64%
Artifacts
43%
Radiologists
42%
Iodine
27%
Liver
25%
Radiation
25%
Neoplasm Metastasis
22%
Uncertainty
16%
Carbon Nanotubes
16%
X-Rays
14%
Computer-Assisted Image Processing
14%
Thorax
14%
Least-Squares Analysis
13%
Computer Neural Networks
10%
Eye
10%
Spiral Computed Tomography
10%
Lung
10%
Computed Tomography Angiography
10%
Datasets
9%
Lasers
9%
Coleoptera
9%
Distillation
9%
CT protocol
8%
Physics
8%
Muscles
8%
Particle Accelerators
8%
Area Under Curve
7%
Brachial Plexus
7%
Information Services
7%
Cone-Beam Computed Tomography
7%
Coronary Vessels
7%
X Ray Computed Tomography
7%
Learning
7%
Contracture
6%
Technology
6%
Feasibility Studies
6%
Specific Gravity
6%
Multiple Myeloma
5%
Paralysis
5%
Education
5%
Shoulder
5%
Research Ethics Committees
5%
Calibration
5%
Nematoda
5%
Engineering & Materials Science
Tomography
42%
Dosimetry
40%
Convolutional neural networks
40%
Phantoms
29%
Imaging techniques
27%
Image quality
24%
Deep learning
23%
Photons
21%
Noise abatement
21%
Image reconstruction
19%
Liver
19%
Detectors
18%
Graphics processing unit
18%
X rays
14%
Deep neural networks
13%
Neural networks
13%
Carbon nanotubes
12%
Computerized tomography
10%
Scattering
9%
Lasers
9%
Uncertainty
7%
Ablation
7%
Pixels
7%
Eye tracking
7%
Unsupervised learning
6%
Light sources
6%
Data structures
6%
Sorting
6%
Distillation
6%
Network architecture
6%
Image analysis
5%
Mean square error
5%
Physics
5%
Physics & Astronomy
learning
31%
lesions
25%
noise reduction
20%
dosage
19%
metastasis
17%
education
16%
chest
16%
counting
15%
liver
15%
nodules
12%
insertion
10%
carbon nanotubes
10%
photons
10%
detectors
10%
lungs
9%
performance
8%
scanners
8%
arteries
8%
projection
7%
pixels
7%
radiation
7%
distillation
7%
mice
7%
confidence
6%
transformers
6%
penalties
6%
acquisition
6%
artifacts
5%
energy
5%
temporal resolution
5%
tomography
5%
spatial resolution
5%
students
5%
