RADIOTHERAPY GENETIC ALGORITHM PARETO-MULTIOBJECTIVE OPTIMIZATION OF BIOLOGICAL EFECTIVE DOSE AND CLONOGENS MODELS FOR HEAD AND NECK TUMOR ADVANCED TREATMENT

نویسندگان

چکیده

BED model (Biological Effective Dose) for Head and Neck tumors Hyperfractionation TPO was optimizedwith Pareto-Multiobjective (PMO) Genetic Algorithms (GA) software. Artificial Intelligence (AI) with GA is applied on Radiotherapy Treatment Planning Optimization (TPO). Secondly, the review of NEffective (Effective Tumor Population Clonogens Number) optimization breast cancer clonogens parameters determination in (Treatment Optimization) got 3D Graphical Interior methods. Results series comprise PMO imaging process sequences numerical values parameters. Further results demonstrate PMO-GA both Pareto-Optimal Front detailed graphics, charts dose fractionation datasets. Supplemental new recent applications Isodoses AAA (Anisotropic Analytic Algorithm) wedge filters delivery shown. Advanced RT TPO, 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/v11i1.08