Telemedicine system of pathology image using the Internet

Ayako Suzuki; Toshiyuki Tanaka

doi:10.1109/SICE.2007.4421071

Telemedicine system of pathology image using the Internet

Ayako Suzuki, Toshiyuki Tanaka

Department of Applied Physics and Physico-Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this study, tumor images are classified into 4 groups according to the symptom automatically in order to construct the telemedicine system of pathology image using the Internet. As this method, we use the texture analysis for obtaining parameters and the discriminant analysis for the automatic classification. The discriminant analysis based on 5 parameters for 103 tumor images resulted in the correct automatic classification of 81.5%. From the result of this study, it has provided the possibility of the image-based diagnosis of tumor with texture analysis.

Original language	English
Title of host publication	SICE Annual Conference, SICE 2007
Pages	694-697
Number of pages	4
DOIs	https://doi.org/10.1109/SICE.2007.4421071
Publication status	Published - 2007 Dec 1
Event	SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 - Takamatsu, Japan Duration: 2007 Sept 17 → 2007 Sept 20

Publication series

Name	Proceedings of the SICE Annual Conference

Other

Other	SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007
Country/Territory	Japan
City	Takamatsu
Period	07/9/17 → 07/9/20

Keywords

Automatic classification
Image processing
Large colon tumor
Texture analysis

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/SICE.2007.4421071

Cite this

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title = "Telemedicine system of pathology image using the Internet",

abstract = "In this study, tumor images are classified into 4 groups according to the symptom automatically in order to construct the telemedicine system of pathology image using the Internet. As this method, we use the texture analysis for obtaining parameters and the discriminant analysis for the automatic classification. The discriminant analysis based on 5 parameters for 103 tumor images resulted in the correct automatic classification of 81.5%. From the result of this study, it has provided the possibility of the image-based diagnosis of tumor with texture analysis.",

keywords = "Automatic classification, Image processing, Large colon tumor, Texture analysis",

author = "Ayako Suzuki and Toshiyuki Tanaka",

year = "2007",

month = dec,

day = "1",

doi = "10.1109/SICE.2007.4421071",

language = "English",

isbn = "4907764286",

series = "Proceedings of the SICE Annual Conference",

pages = "694--697",

booktitle = "SICE Annual Conference, SICE 2007",

note = "SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 ; Conference date: 17-09-2007 Through 20-09-2007",

}

TY - GEN

T1 - Telemedicine system of pathology image using the Internet

AU - Suzuki, Ayako

AU - Tanaka, Toshiyuki

PY - 2007/12/1

Y1 - 2007/12/1

N2 - In this study, tumor images are classified into 4 groups according to the symptom automatically in order to construct the telemedicine system of pathology image using the Internet. As this method, we use the texture analysis for obtaining parameters and the discriminant analysis for the automatic classification. The discriminant analysis based on 5 parameters for 103 tumor images resulted in the correct automatic classification of 81.5%. From the result of this study, it has provided the possibility of the image-based diagnosis of tumor with texture analysis.

AB - In this study, tumor images are classified into 4 groups according to the symptom automatically in order to construct the telemedicine system of pathology image using the Internet. As this method, we use the texture analysis for obtaining parameters and the discriminant analysis for the automatic classification. The discriminant analysis based on 5 parameters for 103 tumor images resulted in the correct automatic classification of 81.5%. From the result of this study, it has provided the possibility of the image-based diagnosis of tumor with texture analysis.

KW - Automatic classification

KW - Image processing

KW - Large colon tumor

KW - Texture analysis

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U2 - 10.1109/SICE.2007.4421071

DO - 10.1109/SICE.2007.4421071

M3 - Conference contribution

AN - SCOPUS:50249133830

SN - 4907764286

SN - 9784907764289

T3 - Proceedings of the SICE Annual Conference

SP - 694

EP - 697

BT - SICE Annual Conference, SICE 2007

T2 - SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007

Y2 - 17 September 2007 through 20 September 2007

ER -

Telemedicine system of pathology image using the Internet

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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