"Intelligent operating architecture for audio-visual breast self-examin" by Robert Kerwin C. Billones, Rey Anthony A. Masilang et al.
 

Intelligent operating architecture for audio-visual breast self-examination multimedia training system

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Document Type

Conference Proceeding

Source Title

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Volume

2016-January

Publication Date

1-5-2016

Abstract

This paper introduces the initiated development of a computerised system called Breast Self-Examination-Multimedia Training System (BSE-MTS) and ongoing research for its development into effective, intelligent, high-tech system. Firstly, it presents the major components of the BSE-MTS and describes its future development into an intelligent system. Then, it outlines the development of the system as an intelligent integration of various modules of heterogeneous information, i.e.: (1) domain knowledge and perception of breast structures, locations, nodules (2) graphic and visual information (3) speech recognition and speech synthesis in the specific domain (4) interactive audio-visual feedback to the users of the BSE-MTS. The authors performed tests on using BSEMTS and present the outcomes. The paper is result of a research study. © 2015 IEEE.

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Digitial Object Identifier (DOI)

10.1109/TENCON.2015.7372889

Disciplines

Biomechanical Engineering

Keywords

Breast—Examination--Automation; Self-examination, Medical--Automation; Computer vision; Automatic speech recognition

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