Keyphrases
Learning Framework
100%
Lung Cancer Patients
100%
Deep Learning Methods
100%
Transfer Learning
100%
Perfusion Mapping
100%
Perfusion Image
62%
Dice Similarity Coefficient
37%
CT-based
37%
Voxel-wise
37%
Single-photon Emission Computed Tomography (SPECT)
25%
Coefficient Value
25%
Training Model
25%
Non-cancer
25%
Functional Lung
25%
Deep Learning Model
25%
Perfusion Parameters
25%
Functional Volume
25%
Lung
12%
Spearman Correlation Coefficient
12%
Mapping Method
12%
Information-centric
12%
Extracting Features
12%
Lung Cancer
12%
Lung Disease
12%
Lung Perfusion
12%
CT Images
12%
SPECT-CT
12%
Functional Information
12%
Functional Lung Avoidance Radiation Therapy
12%
Model Fine-tuning
12%
Perfusion Imaging
12%
R-function
12%
Lower Lobe
12%
CT Perfusion
12%
3D CT Images
12%
Multilevel Evaluation
12%
Left Upper Lobe
12%
Right Upper Lobe
12%
Right Middle Lobe
12%
Right Lower Lobe
12%
Medicine and Dentistry
Lung Cancer
100%
Transfer of Learning
100%
Lung
55%
Single-Photon Emission Computed Tomography
22%
Malignant Neoplasm
22%
Radiation Therapy
11%
Single Photon Emission Computed Tomography-Computed Tomography
11%
Silo-Filler's Disease
11%
Cross-Validation
11%
Biochemistry, Genetics and Molecular Biology
Perfusion
100%
Transfer of Learning
100%
Single Photon Emission Computed Tomography
20%
Lung Perfusion
10%
Single Photon Emission Computed Tomography-Computed Tomography
10%
Immunology and Microbiology
Perfusion
100%
Transfer of Learning
100%
Single Photon Emission Computed Tomography
20%
Single Photon Emission Computed Tomography-Computed Tomography
10%
Lung Perfusion
10%
Pharmacology, Toxicology and Pharmaceutical Science
Lung Cancer
100%
Malignant Neoplasm
22%
Cross-Validation
11%
Lung Disease
11%