Utilizing gradient approximations to optimize data selection protocols for tumor growth model calibration
The use of mathematical models to make predictions about tumor growth and response to treatment has become increasingly more prevalent in the clinical setting. The level of complexity within these models ranges broadly, and the calibration of more complex models correspondingly requires more detaile...
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Main Authors | , , , |
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Format | Journal Article |
Language | English |
Published |
25.12.2021
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Subjects | |
Online Access | Get full text |
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