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Deep Morphological Neural Networks
Yucong Shen
,
Frank Y. Shih
, Xin Zhong
, I. Cheng Chang
Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
9
Scopus citations
Overview
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Dive into the research topics of 'Deep Morphological Neural Networks'. Together they form a unique fingerprint.
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Keyphrases
Morphological Operations
100%
Structuring Element
100%
Morphological Neural Network
100%
Brain Tumor
50%
High Computational Efficiency
50%
Mathematical Morphology
50%
Traffic Signs
50%
Digital Image
50%
Geometric Structure
50%
Target Image
50%
Geometric Shape
50%
Original Image
50%
Object Recognition
50%
Object Features
50%
Convolutional Neural Network Model
50%
Morphological Structuring
50%
Topological Structure
50%
Nonlinear Feature Extraction
50%
Handwritten Digits
50%
Feature Extraction Tool
50%
Computer Science
Neural Network
100%
Morphological Operations
100%
Structuring Element
100%
Experimental Result
50%
Neural Network Model
50%
Mathematical Morphology
50%
Feature Extraction
50%
Object Recognition
50%
Computational Efficiency
50%
Convolutional Neural Network
50%
Topological Structure
50%
Operation Element
50%