AI Article Synopsis
- * Researchers created a software called SQLite4Radiomics to help use these images in a system that stores them.
- * The software was tested on lung cancer images and was able to analyze them in about 10.7 seconds for each area of interest.
Article Abstract
Radiomics is referred to as quantitative imaging of biomarkers used for clinical outcome prognosis or tumor characterization. In order to bridge radiomics and its clinical application, we aimed to build an integrated solution of radiomics extraction with an open-source Picture Archiving and Communication System (PACS). The integrated SQLite4Radiomics software was tested in three different imaging modalities and its performance was benchmarked in lung cancer open datasets RIDER and MMD with median extraction time of 10.7 (percentiles 25-75: 8.9-18.7) seconds per ROI in three different configurations.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507196 | PMC |
| http://dx.doi.org/10.1016/j.phro.2021.09.007 | DOI Listing |
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