Feature of malignant melanoma based on color information

Hisao Motoyama; Toshiyuki Tanaka; Masaru Tanaka; Hiroshi Oka

Feature of malignant melanoma based on color information

Hisao Motoyama, Toshiyuki Tanaka, Masaru Tanaka, Hiroshi Oka

Department of Applied Physics and Physico-Informatics

Research output: Contribution to conference › Paper › peer-review

6 Citations (Scopus)

Abstract

This research aims at finding the features that contribute to diagnose the illness as the malignant melanoma, based on the color information of images. We divide RGB space into 4096 pieces and choose the spaces including colors peculiar to malignant melanoma. By using these spaces, about 26% of images of melanoma could be taken out only by the color information. This is very useful to malignant melanoma distinction accuracy.

Original language	English
Pages	399-402
Number of pages	4
Publication status	Published - 2004 Dec 1
Event	SICE Annual Conference 2004 - Sapporo, Japan Duration: 2004 Aug 4 → 2004 Aug 6

Other

Other	SICE Annual Conference 2004
Country	Japan
City	Sapporo
Period	04/8/4 → 04/8/6

Keywords

Dermoscopy
Melanoma
RGB

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

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title = "Feature of malignant melanoma based on color information",

abstract = "This research aims at finding the features that contribute to diagnose the illness as the malignant melanoma, based on the color information of images. We divide RGB space into 4096 pieces and choose the spaces including colors peculiar to malignant melanoma. By using these spaces, about 26% of images of melanoma could be taken out only by the color information. This is very useful to malignant melanoma distinction accuracy.",

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N2 - This research aims at finding the features that contribute to diagnose the illness as the malignant melanoma, based on the color information of images. We divide RGB space into 4096 pieces and choose the spaces including colors peculiar to malignant melanoma. By using these spaces, about 26% of images of melanoma could be taken out only by the color information. This is very useful to malignant melanoma distinction accuracy.

AB - This research aims at finding the features that contribute to diagnose the illness as the malignant melanoma, based on the color information of images. We divide RGB space into 4096 pieces and choose the spaces including colors peculiar to malignant melanoma. By using these spaces, about 26% of images of melanoma could be taken out only by the color information. This is very useful to malignant melanoma distinction accuracy.

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KW - RGB

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