Classifying cervix tissue patterns with texture analysis

Qiang Ji

doi:10.1016/S0031-3203(99)00123-5

2000-09-01

PRE

Qiang Ji *

E. R. Craine

DOI：10.1016/S0031-3203(99)00123-5

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摘要

En 中文

This paper presents a generalized statistical texture analysis technique for characterizing and recognizing typical, diagnostically most important, vascular patterns relating to cervical lesions from colposcopic images. The major contributions of this research include the development of a novel generalized statistical texture analysis approach for accurately characterizing cervical textures and the introduction of a set of textural features that capture the specific characteristics of cervical textures as perceived by human. Experimental study demonstrated the feasibility and promising of the proposed approach in discriminating between cervical texture patterns indicative of different stages of cervical lesions. (C) 2000 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

Keyword:

texture analysis

cervix lesion classification

colposcopic images

pattern recognition

AI总结

对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Pattern Recognition

IF:

7.6

论文数:

1.3W

被引数:

4.5W

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