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Invasive Ductal Carcinoma (IDC) Nuclei Classification using Mask RCNN
Amany Ibrahim
,
Hanaa Torkey
, Ayman El-Sayed
Menoufia University
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Engineering
Artificial Intelligence
100%
Convolutional Neural Network
100%
Early Detection
100%
Experimental Result
100%
Feature Extraction
100%
Interpretability
100%
Metrics
100%
Multiscale
100%
Radiologist
100%
Recognition Accuracy
100%
Region of Interest
100%
Scale Feature
100%
Survival Rate
100%
System Diagnostics
100%
Medicine and Dentistry
Artificial Intelligence
25%
Breast Cancer
100%
Breast Carcinoma
100%
Cancer Types
25%
Feature Extraction
25%
Histopathology
25%
Image Analysis (Medical Imaging)
25%
Malignant Neoplasm
50%
Survival Rate
25%
Chemical Engineering
Artificial Intelligence
100%
Feature Extraction
100%
Neural Network
100%
Pattern Recognition
100%
Biochemistry, Genetics and Molecular Biology
Artificial Intelligence
100%
Feature Extraction
100%
Survival Rate
100%
Material Science
Image Analysis
100%