INIS
breasts
100%
patients
88%
cancer
84%
tumors
81%
detection
74%
modeling
74%
surgery
74%
geometry
43%
surfaces
40%
thyroidectomy
37%
emphysema
37%
validation
37%
rectum
37%
reviews
37%
pain
31%
optimization
26%
size
19%
depth
16%
biology
12%
tissues
12%
randomness
12%
safety
12%
statistics
12%
iodine
12%
data
10%
accuracy
9%
tools
9%
infrared thermography
6%
design
6%
finite element method
6%
comparative evaluations
6%
blood
6%
glands
6%
density
6%
fats
6%
lymph nodes
6%
defects
6%
air
6%
nmr imaging
6%
perforation
6%
peritonitis
6%
solids
6%
metastases
6%
x radiation
6%
antibiotics
6%
therapy
6%
walls
6%
growth
6%
adenocarcinomas
6%
diet
6%
Medicine and Dentistry
Breast Tumor
74%
Neoplasm
74%
Breast Cancer
55%
Thermography
42%
Breast Surgery
37%
Thyroidectomy
37%
Subcutaneous Emphysema
37%
Cancer Pathobiology
37%
Cancer Therapy
37%
Rectum Cancer
37%
Meta-Analysis
37%
Systematic Review
37%
Postoperative Pain
25%
Operation Duration
25%
Breast Tissue
25%
Random Effects Model
12%
Odds Ratio
12%
Skin Surface
12%
Mammography
12%
Physician
12%
Diagnostic Procedure
12%
Genetic Algorithm
12%
Finite Element Analysis
12%
Breast Cancer Screening
12%
Fat Content
12%
Infrared Imaging
12%
Rectum Tumor
9%
Emphysema
9%
Incontinence
9%
Gastrointestinal Surgery
9%
Bleeding
9%
Antibiotics
9%
Lymph Node
9%
Gynecological Surgery
9%
Magnetic Resonance Imaging
9%
Computer Assisted Tomography
9%
Adenocarcinoma
9%
Colonoscopy
9%
Abdominal Pain
9%
Defecation Habit
9%
Peritonitis
9%
Stricture
9%
Anus
9%
Laparoscopic Surgery
9%
Metastatic Carcinoma
9%
Conservative Treatment
9%
Tumor Diagnosis
5%
Cancer Diagnosis
5%
Patient-Data
5%
Keyphrases
Breast
37%
Inverse Thermal Modeling
37%
Cancer Biology
37%
Breast Reconstruction
37%
Breast Cancer
37%
Cancer Treatment
37%
Thermal Patterns
37%
Breast Cancer Detection
37%
Experimental Validation
37%
Model Validation
37%
Gasless Endoscopic Thyroidectomy
37%
Tumor
26%
Breast Cancer Diagnosis
10%
Optimization Methods
10%
Numerical Modeling
10%
Inverse Modeling
10%
Infrared Thermography
10%
Response Surface Optimization
10%
Modelling Problems
10%
Wall Defects
9%
Clinically Stable
9%
Breast Cancer Early Detection
6%
Thermogram
5%
Tumor Size
5%
Tumor Depth
5%
3D Geometry
5%
Good Accuracy
5%
Design Optimization
5%
Feature-based
5%
Optimization Techniques
5%
Blood Perfusion
5%
Design Optimization Method
5%
Reverse Modeling
5%
Tumor Features
5%
Personalized Information
5%
Finite Element Modeling
5%
Nelder-Mead Method
5%
Breast Model
5%
Forward Modeling
5%
Patient Data
5%
GA Method
5%
Population-averaged
5%
Modeling Framework
5%
Patient-reported Data
5%