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A pulmonary nodule view system for the Lung Image Database Consortium (LIDC).

Abstract：

RATIONALE AND OBJECTIVES:The aim of this study was to develop a pulmonary nodule viewing system to visualize and retrieve data from the Lung Image Database Consortium. MATERIALS AND METHODS:The pulmonary nodule viewing system, developed using Microsoft C++ and the .NET 2.0 Framework, is composed of a clinical information integrator, a nodule viewer, a search engine, and a data model. RESULTS:A pulmonary nodule viewing system using Lung Image Database Consortium data for computer-aided diagnosis research and training purpose was developed. CONCLUSIONS:The pulmonary nodule viewing system can be used to build a pulmonary nodule database for computer-aided diagnosis research and medical education. It can also be used to view and retrieve large data sets efficiently.

journal_name

Acad Radiol

journal_title

Academic radiology

authors

Lin H,Chen Z,Wang W

doi

10.1016/j.acra.2011.04.006

subject

Has Abstract

pub_date

2011-09-01 00:00:00

pages

1181-5

issue

9

eissn

1076-6332

issn

1878-4046

pii

S1076-6332(11)00204-2

journal_volume

18

pub_type

杂志文章

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