Keyphrases
Area under the ROC Curve
67%
COVID-19
66%
Dynamic Contrast-enhanced Magnetic Resonance Imaging (DCE-MRI)
55%
Deep Learning Methods
49%
Breast Cancer Diagnosis
41%
Deep Learning
41%
Breast Lesion Segmentation
41%
Region of Interest
40%
Environmental Justice
33%
Deep Convolutional Neural Network (deep CNN)
33%
Geographic Disparities
33%
Economic Feasibility
33%
Internally Displaced Population
33%
Internally Displaced Persons
33%
Sea Oil Spill
33%
Convolutional Neural Network Features
33%
School Closure
33%
Migration Patterns
33%
Red Sea
33%
High Risk
33%
Breast Imaging
33%
Syria
33%
Breast DCE-MRI
33%
Mammogram
33%
Recurrent Neural Network
33%
Deep Feature Fusion
33%
Healthcare Environment
33%
Response to Neoadjuvant Chemotherapy
33%
Yemen
33%
Work Absenteeism
33%
Childcare Subsidies
33%
Data Management Tools
33%
Response Predictors
33%
Population Migration
33%
Healthcare Workers
33%
MRI Contrast
33%
Simulation Study
33%
Classification Basis
33%
Routine Testing
33%
Transfer Learning
33%
Health Disparities
33%
Childcare
21%
Architectural Distortion
20%
Convolutional Neural Network
19%
Response to Therapy
19%
Non-medical
17%
Medical Image
17%
Leave-one-out
17%
Public Funding
16%
Algorithmic Audit
16%
Medicine and Dentistry
Breast Cancer
100%
COVID-19
100%
Cancer Diagnosis
66%
Malignant Neoplasm
33%
BRCA1
33%
Radiomics
33%
Child Care
33%
Cancer Risk Assessment
33%
Public Health
33%
Infection
33%
Breast Imaging
33%
Polymerase Chain Reaction
27%
Cancer Risk
22%
Microcalcification
22%
Dynamic Contrast-Enhanced MRI
16%
Magnetic Resonance Imaging
16%
Digital Mammography
16%
Computer-Aided Diagnosis
16%
Breast Lesion
16%
Cardiovascular System
16%
Clinical Imaging
16%
Base
15%
Severe Acute Respiratory Syndrome Coronavirus 2
15%
Transfer of Learning
11%
Diagnosis
11%
Mammogram
11%
Mammography
11%
Intensive Care Unit
11%
Biopsy
11%
Gene Mutation
11%
Model Selection
11%
Household
7%
Health Care Cost
7%
