https://www.qradiomics.com/tags/lung-cancer-screening/ Recent content in Lung-Cancer-Screening on Qualia Radiomics Hugo en-us Tue, 17 Nov 2020 20:24:09 -0500 https://www.qradiomics.com/posts/2020-11-17-reproducible-and-interpretable-spiculation-quantification-for-lung-cancer-screening/ Tue, 17 Nov 2020 20:24:09 -0500 https://www.qradiomics.com/posts/2020-11-17-reproducible-and-interpretable-spiculation-quantification-for-lung-cancer-screening/ <p>Choi, W., Nadeem, S., Alam, S. R., Deasy, J. O., Tannenbaum, A., &amp; Lu, W. (2020). Reproducible and Interpretable Spiculation Quantification for Lung Cancer Screening. <em>Computer Methods and Programs in Biomedicine</em>, 105839. <a href="https://doi.org/10.1016/j.cmpb.2020.105839">https://doi.org/10.1016/j.cmpb.2020.105839</a></p> <p>Source codes: <a href="https://github.com/choilab-jefferson/LungCancerScreeningRadiomics">https://github.com/choilab-jefferson/LungCancerScreeningRadiomics</a></p> <p><strong>Highlights</strong></p> <p><img loading="lazy" src="https://www.qradiomics.com/posts/2020-11-17-reproducible-and-interpretable-spiculation-quantification-for-lung-cancer-screening/images/1-s2.0-s0169260720316722-gr1_lrg.jpg"></p> <ul> <li> <p>A novel interpretable spiculation feature is presented, computed using the area distortion metric from spherical conformal (angle-preserving) parameterization.</p> </li> <li> <p>A simple one-step feature and prediction model is introduced which only uses our interpretable features (size, spiculation, lobulation, vessel/wall attachment) and has the added advantage of using weak-labeled training data.</p>