relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2592/
title: Detection and Classification of Soft Tissues using Complex Shear Modulus Estimation and Decision Tree Algorithm
creator: Luong, Quang Ha
creator: Nguyen, Manh Cuong
creator: Tran, Duc Tan
subject: Electronics and Computer Engineering
description: Complex shear modulus (CSM) estimation is an effective facility to analyze the mechanical properties of tissues in terms of elasticity and viscosity. CSM can be used to detect and classify some kinds of soft tissues. However, the challenge is the estimation accuracy, and computational complexity. In this paper, we propose a 2D CSM estimation and classification of soft tissues based on the Extended Kalman Filter (EKF) and the Decision Tree (DT) algorithm. EKF is used to estimate the CSM at each spatial point by exploiting the shear wave propagation. A simple and effective decision tree algorithm is then developed for the classification of three kinds of tissues. Simulated experiment and performance study are carried out to confirm the quality of the proposed method.
date: 2017-10-18
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2592/1/p210-luong.pdf
identifier:   Luong, Quang Ha and Nguyen, Manh Cuong and Tran, Duc Tan  (2017) Detection and Classification of Soft Tissues using Complex Shear Modulus Estimation and Decision Tree Algorithm.  In: International Conference on Advanced Technologies for Communications, 18-20 October 2017, Quy Nhon, Viet Nam.     
relation: http://atc-conf.org