INIS
accuracy
20%
adenocarcinomas
10%
algorithms
10%
biomedical radiography
10%
cancer
100%
carcinomas
10%
cat scanning
10%
classification
10%
comparative evaluations
10%
cost
10%
curves
30%
data
10%
efficiency
10%
histology
100%
images
10%
lungs
100%
machine learning
10%
medicine
10%
multivariate analysis
40%
patients
30%
performance
30%
precision
10%
prediction
50%
radiomics
100%
shape
10%
size
20%
skewness
10%
statistics
10%
surgery
10%
texture
10%
treatment (therapy)
10%
tumors
70%
validation
10%
values
10%
volume
10%
Keyphrases
Adenocarcinoma Cells
10%
Area under the ROC Curve
30%
Cancer Care
10%
Classification Methods
10%
Clinical Applicability
10%
CT Images
10%
Feature Algorithm
10%
Feature Association
10%
Feature Selection Methods
20%
Glcm
10%
Histological Subtypes
50%
Histology
10%
Histology Prediction
10%
Intensity Statistics
10%
Lung Cancer Patients
20%
Lung Histology
100%
Lung Tumor
10%
Machine Learning Techniques
10%
Medical Image
10%
Medical Imaging Data
10%
Multivariate Analysis
20%
Multivariate Classifier
10%
Multivariate Model
10%
Naïve Bayes Classifier
10%
Optimal Performance
10%
Optimal Prediction
10%
Performance Prediction
10%
Phenotypic Characteristics
20%
Precision Medicine
10%
Prediction Accuracy
20%
Radiomics
100%
Skewness
10%
Squamous Cell Carcinoma (SqCC)
10%
Surgical Specimen
10%
Training Population
10%
Treatment Therapy
10%
Tumor
30%
Tumor Histology
20%
Tumor Shape
10%
Tumor Size
10%
Tumor Volume
10%
Univariate Analysis
20%
Validation Cohort
10%
Wavelet
40%
Medicine and Dentistry
Adenocarcinoma
10%
Diagnostic Imaging
10%
Feature Extraction
20%
Health Care Cost
10%
Hemophagocytic Lymphohistiocytosis Syndrome
10%
Lung Cancer
100%
Lung Tumor
10%
Malignant Neoplasm
10%
Multivariate Analysis
20%
Neoplasm
50%
Personalized Medicine
10%
Radiomics
100%
Squamous Cell Carcinoma
10%
Tumor Histology
20%
Univariate Analysis
20%
Biochemistry, Genetics and Molecular Biology
Bayesian Learning
10%
Feature Extraction
20%
Multivariate Analysis
20%
Radiomics
100%
Tumor Volume
10%