Modeling tumor growth and treatment response based on quantitative imaging data
Abstract
We review current approaches to predicting tumor
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* Corresponding authors
a Institute of Imaging Science, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
b Department of Radiology and Radiological Sciences, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
c Department of Biomedical Engineering, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
d Department of Physics and Astronomy, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
e Department of Cancer Biology, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
f Department of Surgery, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
g Department of Molecular Physiology and Biophysics, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
h Vanderbilt-Ingram Cancer Center, 1161 21st Avenue South, Vanderbilt University Medical Center, Nashville, USA
We review current approaches to predicting tumor
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