Abstract
Abnormalities in radiomic measures correlate to genomic alterations prone to alter the outcome of personalized anti-cancer treatments. TOPiomics is a new method for the early detection of variations in tumor imaging phenotype from a topological structure in multi-view radiomic spaces.
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Acknowledgements
This project has received funding from the ATTRACT project funded by the EC under Grant Agreement 777222. The work has also been partially funded by Spanish Projects FIS-G64384969, RTI2018-095209-B-C21, RTI2018-095645-B-C21, Generalitat de Catalunya 2017-SGR-1624, 2017 SGR 1783 and CERCA-Programme. The Titan V and Titan X Pascal used for this research was donated by the NVIDIA Corporation. R.Perez is supported by a PCF-Young Investigator Award and Instituto de Salud Carlos III-Investigacin en Salud (PI18/01395). DGil is a Serra Hunter Fellow.
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Gil, D., Ramos, O., Perez, R. (2021). Topological Radiomics (TOPiomics): Early Detection of Genetic Abnormalities in Cancer Treatment Evolution. In: Alberich-Carramiñana, M., Blanco, G., Gálvez Carrillo, I., Garrote-López, M., Miranda, E. (eds) Extended Abstracts GEOMVAP 2019. Trends in Mathematics(), vol 15. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-84800-2_15
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DOI: https://doi.org/10.1007/978-3-030-84800-2_15
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