What is it about?
The aim of this study was to develop a novel technique for lung nodule detection using an optimized feature set. This feature set has been achieved after rigorous experimentation, which has helped in reducing the false positives significantly.
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Why is it important?
The main contribution of this manuscript is the presentation of a relatively simple nodule detection scheme that has a very good performance in an extensive experimental analysis. In addition, the proposed feature set has helped in reducing the false positives significantly and has increased the sensitivity of the proposed system.
Perspectives
This article is quite special for me not only because of the quality of work but because of the co-authors with whom I got the chance to work on this and fine tune my research.
Furqan Shaukat
University of Engineering and Technology Taxila Pakistan
Read the Original
This page is a summary of: Fully automatic detection of lung nodules in CT images using a hybrid feature set, Medical Physics, June 2017, Wiley,
DOI: 10.1002/mp.12273.
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