RADIOTHERAPY GENETIC ALGORITHM PARETO-MULTIOBJECTIVE OPTIMIZATION OF BIOLOGICAL EFFECTIVE DOSE AND CLONOGENS MODELS FOR BREAST TUMOR IMPROVED TREATMENT
نویسندگان
چکیده
BED model (Biological Effective Dose) for Hyperfractionation TPO was optimized with Pareto-Multiobjective Genetic Algorithms (GA) software. Secondly, the NEffective (Effective Tumor Population Clonogens Number) optimization breast cancer clonogens parameters determination in (Treatment Planning Optimization) is carried out 3D Graphical and Interior Optimization methods. GA Results comprise imaging process series numerical values of parameters. Additional results demonstrate both Pareto-Optimal Front graphics, charts dose fractionation datasets. For all these findings, supplementary new recent applications Isodoses AAA (Anisotropic Analytic Algorithm) wedge filters delivery shown. Modern RT treatment cancer, tumors general Fractionation-dose protocols are explained.
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ژورنال
عنوان ژورنال: International journal of mathematics and computer research
سال: 2023
ISSN: ['2320-7167']
DOI: https://doi.org/10.47191/ijmcr/v11i1.02