Automatic Medical Objects Classification Based on Data Sets and Domain Knowledge

被引：1

作者：

Pardel, Przemyslaw Wiktor ^{[1
]}

Bazan, Jan G. ^{[1
]}

Zarychta, Jacek ^{[2
]}

Bazan-Socha, Stanislawa ^{[3
]}

机构：

[1] Univ Rzeszow, Interdisciplinary Ctr Computat Modelling, Pigonia 1 Str, PL-35310 Rzeszow, Poland

[2] Pulm Hosp, Dept Pulmonol, PL-34500 Zakopane, Poland

[3] Jagiellonian Univ, Coll Med, Dept Internal Med 2, PL-31066 Krakow, Poland

来源：

BEYOND DATABASES, ARCHITECTURES AND STRUCTURES, BDAS 2015 | 2015年 / 521卷

关键词：

CT images; Concept approximation; Classifiers; Decision trees; Medical object recognition; Object classification; Domain knowledge; Organs identifying;

D O I：

10.1007/978-3-319-18422-7_37

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes the approach for automatic identifying organs from a medical CT imagery. Main assumption of this approach is the use of data sets and domain knowledge. We apply this approach to automatic classification of chest organs (trachea, lungs, bronchus) and present the results to demonstrate their usefulness and effectiveness. The paper includes the results of experiments that have been performed on medical data obtained from II Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland. The experimental results showed that the approach is promising and can be used in the future to support solving more complex medical problems.

引用

页码：415 / 424

页数：10

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