3D experimental detection and discrimination of malignant and benign breast tumor using NN-based UWB imaging system

3D experimental detection and discrimination of malignant and benign breast tumor using NN-based UWB imaging system

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This paper presents both simulation and experimental study to detect and locate breast tumors along with their classification as malignant and/or benign in three dimensional (3D) breast model. The contrast between the dielectric properties of these two tumor types is the main key. These dielectric p...

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Bibliographic Details
Main Authors: Abdullah, R.S.A.R (Author), Alshehri, S.A (Author), Awang, Z. (Author), Jantan, A.B (Author), Khatun, S. (Author), Mahmud, R. (Author)
Format: Article
Language:English
Subjects:
Blood content
Breast phantom
Breast tumor
Chemical detection
Computer software
Conductivity detection
Detection accuracy
Discrete cosine transforms
Electromagnetic simulators
Experimental setup
Experimental studies
Human lives
Neural network model
Neural networks
Pattern recognition
Permittivity
Petroleum jelly
Received signals
Signal detection
Three dimensional
Three-dimensional (3D)
Tumor detection
Tumors
UWB signals
Water content
Wheat flours
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