Pattern classification of nevus with texture analysis

Toshiyuki Tanaka, Satoru Torii, Iukei Kabuta, Kunio Shimizu, Masaru Tanaka

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

Melanoma is a skin tumor with high malignancy. Cases of melanoma have recently been reported from many hospitals around the world. Since melanoma is analogous with benign nevus, discriminating between melanoma and benign nevus is difficult for nonspecialists. A screening system for melanoma and benign nevus is desired. Melanoma is mainly diagnosed by features of specific shape and color. However, texture patterns within the tumor region can be diagnostically important. The purpose of this research was to classify patterns on the tumor surface. Digital images of a tumor were classified into 3 patterns by texture analysis: homogeneous pattern; globular pattern; and reticular pattern. The tumor part in the image was specified first, and the specified tumor part was divided into sub-images. Texture features of each sub-image were then calculated. Patterns were classified by discriminant analysis based on the number of texture features. As a result, patterns could be classified correctly into the three categories at a ratio of 94%.

Original languageEnglish
Pages (from-to)143-150
Number of pages8
JournalIEEJ Transactions on Electrical and Electronic Engineering
Volume3
Issue number1
DOIs
Publication statusPublished - 2008 Jan

Fingerprint

Pattern recognition
Tumors
Textures
Discriminant analysis
Skin
Screening
Color

Keywords

  • Nevus
  • Pattern classification
  • Texture analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Pattern classification of nevus with texture analysis. / Tanaka, Toshiyuki; Torii, Satoru; Kabuta, Iukei; Shimizu, Kunio; Tanaka, Masaru.

In: IEEJ Transactions on Electrical and Electronic Engineering, Vol. 3, No. 1, 01.2008, p. 143-150.

Research output: Contribution to journalArticle

Tanaka, Toshiyuki ; Torii, Satoru ; Kabuta, Iukei ; Shimizu, Kunio ; Tanaka, Masaru. / Pattern classification of nevus with texture analysis. In: IEEJ Transactions on Electrical and Electronic Engineering. 2008 ; Vol. 3, No. 1. pp. 143-150.
@article{15fcb283164248a9989e3fbdde7b311a,
title = "Pattern classification of nevus with texture analysis",
abstract = "Melanoma is a skin tumor with high malignancy. Cases of melanoma have recently been reported from many hospitals around the world. Since melanoma is analogous with benign nevus, discriminating between melanoma and benign nevus is difficult for nonspecialists. A screening system for melanoma and benign nevus is desired. Melanoma is mainly diagnosed by features of specific shape and color. However, texture patterns within the tumor region can be diagnostically important. The purpose of this research was to classify patterns on the tumor surface. Digital images of a tumor were classified into 3 patterns by texture analysis: homogeneous pattern; globular pattern; and reticular pattern. The tumor part in the image was specified first, and the specified tumor part was divided into sub-images. Texture features of each sub-image were then calculated. Patterns were classified by discriminant analysis based on the number of texture features. As a result, patterns could be classified correctly into the three categories at a ratio of 94{\%}.",
keywords = "Nevus, Pattern classification, Texture analysis",
author = "Toshiyuki Tanaka and Satoru Torii and Iukei Kabuta and Kunio Shimizu and Masaru Tanaka",
year = "2008",
month = "1",
doi = "10.1002/tee.20246",
language = "English",
volume = "3",
pages = "143--150",
journal = "IEEJ Transactions on Electrical and Electronic Engineering",
issn = "1931-4973",
publisher = "John Wiley and Sons Inc.",
number = "1",

}

TY - JOUR

T1 - Pattern classification of nevus with texture analysis

AU - Tanaka, Toshiyuki

AU - Torii, Satoru

AU - Kabuta, Iukei

AU - Shimizu, Kunio

AU - Tanaka, Masaru

PY - 2008/1

Y1 - 2008/1

N2 - Melanoma is a skin tumor with high malignancy. Cases of melanoma have recently been reported from many hospitals around the world. Since melanoma is analogous with benign nevus, discriminating between melanoma and benign nevus is difficult for nonspecialists. A screening system for melanoma and benign nevus is desired. Melanoma is mainly diagnosed by features of specific shape and color. However, texture patterns within the tumor region can be diagnostically important. The purpose of this research was to classify patterns on the tumor surface. Digital images of a tumor were classified into 3 patterns by texture analysis: homogeneous pattern; globular pattern; and reticular pattern. The tumor part in the image was specified first, and the specified tumor part was divided into sub-images. Texture features of each sub-image were then calculated. Patterns were classified by discriminant analysis based on the number of texture features. As a result, patterns could be classified correctly into the three categories at a ratio of 94%.

AB - Melanoma is a skin tumor with high malignancy. Cases of melanoma have recently been reported from many hospitals around the world. Since melanoma is analogous with benign nevus, discriminating between melanoma and benign nevus is difficult for nonspecialists. A screening system for melanoma and benign nevus is desired. Melanoma is mainly diagnosed by features of specific shape and color. However, texture patterns within the tumor region can be diagnostically important. The purpose of this research was to classify patterns on the tumor surface. Digital images of a tumor were classified into 3 patterns by texture analysis: homogeneous pattern; globular pattern; and reticular pattern. The tumor part in the image was specified first, and the specified tumor part was divided into sub-images. Texture features of each sub-image were then calculated. Patterns were classified by discriminant analysis based on the number of texture features. As a result, patterns could be classified correctly into the three categories at a ratio of 94%.

KW - Nevus

KW - Pattern classification

KW - Texture analysis

UR - http://www.scopus.com/inward/record.url?scp=38049103824&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=38049103824&partnerID=8YFLogxK

U2 - 10.1002/tee.20246

DO - 10.1002/tee.20246

M3 - Article

AN - SCOPUS:38049103824

VL - 3

SP - 143

EP - 150

JO - IEEJ Transactions on Electrical and Electronic Engineering

JF - IEEJ Transactions on Electrical and Electronic Engineering

SN - 1931-4973

IS - 1

ER -