Medicine & Life Sciences
Deep Learning
100%
Tomography
76%
Noise
72%
Photons
48%
Artifacts
44%
Radiologists
36%
Radiation
29%
Iodine
25%
Liver
22%
Carbon Nanotubes
22%
Thorax
19%
Computer-Assisted Image Processing
19%
X-Rays
18%
Least-Squares Analysis
18%
Neoplasm Metastasis
15%
Spiral Computed Tomography
14%
Lung
14%
Lasers
13%
Datasets
12%
CT protocol
12%
Particle Accelerators
10%
Eye
10%
Physics
10%
Brachial Plexus
10%
Muscles
9%
X Ray Computed Tomography
9%
Cone-Beam Computed Tomography
9%
Learning
9%
Coronary Vessels
9%
Contracture
8%
Feasibility Studies
8%
Specific Gravity
8%
Technology
8%
Paralysis
7%
Uncertainty
7%
Shoulder
7%
Calibration
6%
Nematoda
6%
Area Under Curve
6%
Growth
6%
Heart
6%
Electrons
6%
Parturition
5%
Radiotherapy
5%
Clinical Trials
5%
Biofeedback (Psychology)
5%
Engineering & Materials Science
Dosimetry
53%
Tomography
50%
Imaging techniques
36%
Phantoms
33%
Image quality
32%
Convolutional neural networks
32%
Image reconstruction
26%
Graphics processing unit
24%
Deep learning
23%
X rays
19%
Carbon nanotubes
17%
Noise abatement
16%
Liver
16%
Computerized tomography
14%
Neural networks
13%
Scattering
12%
Detectors
12%
Lasers
12%
Ablation
10%
Photons
9%
Eye tracking
9%
Unsupervised learning
9%
Light sources
8%
Data structures
8%
Sorting
8%
Pixels
8%
Image analysis
7%
Network architecture
7%
Physics
7%
Bone
6%
Image processing
6%
Radiation
6%
Escherichia coli
5%
Mean square error
5%
Physics & Astronomy
learning
32%
lesions
27%
chest
22%
dosage
19%
noise reduction
16%
nodules
16%
carbon nanotubes
14%
lungs
12%
insertion
12%
metastasis
11%
scanners
11%
liver
11%
arteries
11%
education
10%
mice
10%
performance
9%
projection
9%
radiation
9%
pixels
8%
transformers
8%
artifacts
7%
confidence
7%
temporal resolution
7%
acquisition
7%
counting
7%
optimization
6%
matrices
6%
image reconstruction
5%
