Multiresolution colour texture analysis for classifying colon cancer images

被引：0

作者：

Shuttleworth, JK ^{[1
]}

Todman, AG ^{[1
]}

Naguib, RNG ^{[1
]}

Newman, BM ^{[1
]}

Bennett, MK ^{[1
]}

机构：

[1] Royal Victoria Infirm, Newcastle Upon Tyne NE1 4LP, Tyne & Wear, England

来源：

SECOND JOINT EMBS-BMES CONFERENCE 2002, VOLS 1-3, CONFERENCE PROCEEDINGS: BIOENGINEERING - INTEGRATIVE METHODOLOGIES, NEW TECHNOLOGIES | 2002年

关键词：

texture; microscopy; cancer; image analysis; colon;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Co-occurrence matrices are commonly used to extract fine texture information from images, and have been found to be a useful tool for measuring dysplasia in histological images of the colon. Pathologists, however, measure dysplasia in tissue samples at structural as well as cytological levels. We present our findings after investigating modifications to the co-occurrence matrix technique to measure this low frequency colour texture information for the classification of colon cancer images.

引用

页码：1118 / 1119

页数：2

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