Computer-aided diagnosis for pulmonary nodules based on helical CT images

被引：0

作者：

Kanazawa, E ^{[1
]}

Kawata, Y ^{[1
]}

Niki, N ^{[1
]}

Satoh, H ^{[1
]}

Ohmatsu, H ^{[1
]}

Kakinuma, R ^{[1
]}

Kaneko, M ^{[1
]}

Moriyama, N ^{[1
]}

Eguchi, E ^{[1
]}

机构：

[1] Takuma Natl Coll Technol, Kagawa 7691192, Japan

来源：

FOURTEENTH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1 AND 2 | 1998年

关键词：

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：

In this paper, we present a computer assisted a automatic diagnostic system for lung cancer that detects nodule candidates at an early stage from helical CT images of the thorax. Our diagnostic system consists of analytic and diagnostic procedures. In, the analysis procedure, we extract the lung and the blood vessel regions using the fuzzy clustering algorithm, then we analyze the features of these regions. In the diagnosis procedure, we define diagnostic rules utilizing the extracted features which support the determination of the candidate nodule locations.

引用

页码：1683 / 1685

页数：3

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