Computer-aided detection and analysis of pulmonary nodule from CT images: A survey

被引：35

作者：

Dhara, Ashis Kumar ^{[1
,2
,4
]}

Mukhopadhyay, Sudipta ^{[1
,2
,4
]}

Khandelwal, Niranjan ^{[3
]}

机构：

[1] Indian Inst Technol, Dept Elect Engn, Kharagpur 721302, W Bengal, India

[2] Indian Inst Technol, Dept Elect Commun Engn, Kharagpur 721302, W Bengal, India

[3] PGIMER, Dept Radiodiag, Chandigarh, India

[4] Indian Inst Technol, Dept Elect & Elect Commun Engn, Kharagpur 721302, W Bengal, India

来源：

IETE TECHNICAL REVIEW | 2012年 / 29卷 / 04期

关键词：

Characterization; Computer-aided diagnosis; Computer tomography; Nodule; Nodule detection; Volumetric analysis; AUTOMATIC LUNG SEGMENTATION; FALSE-POSITIVE REDUCTION; GROUND GLASS OPACITIES; THORACIC CT; SPIRAL CT; DETECTION ALGORITHM; TOMOGRAPHY IMAGES; CHEST CT; SCANS; DIAGNOSIS;

D O I：

10.4103/0256-4602.101306

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The pulmonary nodules are the most common manifestation of lung cancer. Computer tomography (CT) images provide a very good technology for pulmonary nodule detection because of the thin-slice chest scan. This large number of thin-slice leads to the development of the computer-aided detection and analysis system for pulmonary nodule to assist radiologists. This paper presents a review of the literature from 1998-2010 on automated detection of pulmonary nodule including methods of false positive reduction, nodule characterization, and volumetric analysis of segmented nodule. In addition, research trends and challenges are identified and directions for future research are discussed.

引用

页码：265 / 275

页数：11

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