The capability of assessing 2 dimensional images from biological tissue specimens at high resolution requires not only improved optical and biomarker methods, but also is critically dependent on mathematical techniques that enable efficient analyses of larger and more complex data sets in which positional information is accurately assessed. We present here a novel shearlet computational method that detects regions of interest in 2-dimensional tumor biopsy images, using directional information and multiscale analysis. The regions putatively correspond to epithelial or mesenchymal areas of cells, which is of critical interest to clinicians since transition from epithelia to mesenchyme promotes tumor invasion and resistance to chemotherapy. The method significantly outperformed two benchmark methods based on wavelets and shearlets.
|Original language||English (US)|
|Title of host publication||2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018|
|Publisher||IEEE Computer Society|
|Number of pages||5|
|State||Published - May 23 2018|
|Event||15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, United States|
Duration: Apr 4 2018 → Apr 7 2018
|Name||Proceedings - International Symposium on Biomedical Imaging|
|Other||15th IEEE International Symposium on Biomedical Imaging, ISBI 2018|
|Period||4/4/18 → 4/7/18|
Bibliographical noteFunding Information:
This project has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Contract No. HHSN261200800001E. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government. NCI-Frederick is accredited by AAALAC International and follows the Public Health Service Policy for the Care and Use of Laboratory Animals. Animal care was provided in accordance with the procedures outlined in the Guide for Care and Use of Laboratory Animals (National Research Council; 2011; National Academy Press; Washington, D.C.). W. Czaja has been in part supported by NSF grant #DMS1738003.