Lung Micronodules: Automated Method for Detection at Thin-Section CT—Initial Experience
- 1 January 2003
- journal article
- Published by Radiological Society of North America (RSNA) in Radiology
- Vol. 226 (1) , 256-262
- https://doi.org/10.1148/radiol.2261011708
Abstract
An automated system was developed for detecting lung micronodules on thin-section computed tomographic images and was applied to data from 15 subjects with 77 lung nodules. The automated system, without user interaction, achieved a sensitivity of 100% for nodules (>3 mm in diameter) and 70% for micronodules (<or=3 mm). With the same images, a radiologist detected nodules and micronodules with sensitivities of 91% and 51%, respectively, without system input. With assistance from the automated system, these sensitivities increased to 95% and 74%, respectively. Preliminary results indicate that the automated system considerably improved the radiologist's performance in micronodule detection.Keywords
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