eprintid: 2592
rev_number: 9
eprint_status: archive
userid: 12
dir: disk0/00/00/25/92
datestamp: 2017-10-29 07:19:31
lastmod: 2017-12-12 08:16:31
status_changed: 2017-10-29 07:19:31
type: conference_item
metadata_visibility: show
creators_name: Luong, Quang Ha
creators_name: Nguyen, Manh Cuong
creators_name: Tran, Duc Tan
creators_id: luonghai@mta.edu.vn
creators_id: nmcuong@gmail.com
creators_id: tantd@vnu.edu.vn
title: Detection and Classification of Soft Tissues using Complex Shear Modulus Estimation and Decision Tree Algorithm
ispublished: pub
subjects: ElectronicsandComputerEngineering
divisions: fac_fet
abstract: 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
date_type: published
official_url: http://atc-conf.org
full_text_status: public
pres_type: lecture
pagerange: 210-213
event_title: International Conference on Advanced Technologies for Communications
event_location: Quy Nhon, Viet Nam
event_dates: 18-20 October 2017
event_type: conference
refereed: TRUE
related_url_url: http://atc-conf.org
citation:   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.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2592/1/p210-luong.pdf