A Combination of Serial Tumor Radiomics Features and key clinical attributes can predict the response of Head & Neck Cancers Treated with Image-Guided Radiation Therapy
April 20th, 2018
Categories: Applications, Visual Analytics, Visual Informatics
Authors
Elhalawani, H., Mohamed, A., Volpe, V., Yang, P., Campbell, S., Granberry, R., Ger, R., Fave, X., Zhang, L., Marai, GE, Vock, DM, Canahuate, GM, Macking, D., Court, L., Gunn, GB, Rao, A., Fuller, CDAbout
Support:
National Institutes of Health:
NCI-R01-CA214825, “SMART-ACT: Spatial Methodologic Approaches for Risk Assessment and Therapeutic Adaptation in Cancer Treatment”
NCI-R01CA225190, “QuBBD: Precision E –Radiomics for Dynamic Big Head & Neck Cancer Data“
Citation
Elhalawani, H., Mohamed, A., Volpe, V., Yang, P., Campbell, S., Granberry, R., Ger, R., Fave, X., Zhang, L., Marai, GE, Vock, DM, Canahuate, GM, Macking, D., Court, L., Gunn, GB, Rao, A., Fuller, CD, A Combination of Serial Tumor Radiomics Features and key clinical attributes can predict the response of Head & Neck Cancers Treated with Image-Guided Radiation Therapy, ESTRO 2018, pp. 1-3, April 20th, 2018.