Deficiencies of Lung Segmentation Techniques using CT Scan Images for CAD

被引：0

作者：

Memon, Nisar Ahmed ^{[1
]}

Mirza, Anwar Majid ^{[2
]}

Gilani, S. A. M. ^{[2
]}

机构：

[1] GIK Inst, Fac Comp Sci & Engn, Topi, Pakistan

[2] NWFP, Ghulam Ishaq Khan Inst Engn Sci & Technol, Topi, Pakistan

来源：

PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 14 | 2006年 / 14卷

关键词：

Computer Aided Diagnosis (CAD); Mathematical Morphology; Medical Image Analysis; Region Growing; Segmentation; Thresholding;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Segmentation is an important step in medical image analysis and classification for radiological evaluation or computer aided diagnosis. This paper presents the problem of inaccurate lung segmentation as observed in algorithms presented by researchers working in the area of medical image analysis. The different lung segmentation techniques have been tested using the dataset of 19 patients consisting of a total of 917 images. We obtained datasets of 11 patients from Ackron University, USA and of 8 patients from AGA Khan Medical University, Pakistan. After testing the algorithms against datasets, the deficiencies of each algorithm have been highlighted.

引用

页码：234 / +

页数：2

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