Keyphrases
Deep Learning Methods
100%
U-Net
100%
Tissue Segmentation
100%
Density Assessment
100%
Mammogram
100%
Tissue Density
100%
Fibroglandular
66%
Muscle Tissue
50%
Breast Cancer
50%
Breast Density Assessment
50%
Dice Similarity Coefficient
50%
Pectoral muscle
50%
Early Diagnosis
33%
Breast Cancer Diagnosis
33%
Assessment System
33%
Breast Density
33%
Digital Database for Screening Mammography
33%
Tversky
33%
Classification Accuracy
16%
High Performance
16%
Segmentation Model
16%
Extracting Features
16%
Feature Extracting
16%
Early Treatment
16%
Cascade Model
16%
Cancer Types
16%
Fully Automated
16%
Segmentation Performance
16%
Fully-automatic
16%
Automatic Segmentation
16%
Breast Cancer Treatment
16%
ResNet50
16%
Cancer Mortality
16%
VGG19
16%
Cosine
16%
Balanced Accuracy
16%
Cancer Causes
16%
Common Cause
16%
Morphological Operators
16%
Image Processing pipeline
16%
Machine Learning pipelines
16%
Adipose Tissue
16%
Tissue Interface
16%
Intersection over Union
16%
Am(III)
16%
Varying number
16%
System Prediction
16%
VGG-16 Network
16%
Automated Deep Learning
16%
Tissue Percentage
16%
Mediolateral Oblique
16%
Fibroglandular Tissue
16%
Dice Loss Function
16%
Segmentation Prediction
16%
Categorical Cross-entropy
16%
Mammogram Segmentation
16%
Breast Density Classification
16%
Pre-trained Weights
16%
Computer-aided Methods
16%
Disease Prognosis
16%
Mammographic Density
16%
Breast Tumor Classification
16%
ResNet50 Network
16%
Medicine and Dentistry
Breast Density
100%
Breast Cancer
83%
Mammography
83%
Muscle Tissue
50%
Pectoral Muscle
50%
Mammogram
50%
Early Diagnosis
33%
Malignant Neoplasm
33%
Breast Tissue
16%
Disease
16%
Morphology
16%
Engineering
Similarities
100%
Deep Learning Method
100%
Metrics
33%
Image Processing
33%
Extracted Feature
33%
Classification Accuracy
33%
Loss Function
33%
Test Data
33%
Morphological Operator
33%
Fibroglandular Tissue
33%
Mammographic Density
33%
Learning System
33%