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Computer-aided diagnosis of small pulmonary nodules.

Authors
Type
Published Article
Journal
Seminars in ultrasound, CT, and MR
Publication Date
Volume
21
Issue
2
Pages
116–128
Identifiers
PMID: 10776884
Source
Medline
License
Unknown

Abstract

Computer-aided methods are now being developed for the detection and characterization of pulmonary nodules found in CT images, based on techniques from computer vision, image processing, and pattern classification. With the increasing resolution of modern CT scanners, computer methods provide continually improving accuracy, reproducibility, and utility in analyzing the larger numbers of images acquired in a lung screening exam or diagnostic study. This article describes the fundamental tools and issues involved in computer-aided nodule detection and characterization, as we move from two-dimensional toward three-dimensional automated methods. In particular, we focus on the new domain of "small" pulmonary nodules.

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