نتایج جستجو برای: tumor control probability
تعداد نتایج: 1910321 فیلتر نتایج به سال:
Introduction: Cranes are of the major causes of accidents in the construction industries. As human error mostly causes crane accidents, this study aims to investigate the human errors of tower crane operators in the construction projects using SHERPA and CREAM techniques. Material and Method: In this research, first, all of the tasks of the tower crane operator were identified and analyzed. Th...
PURPOSE Accurate prostate low dose-rate brachytherapy treatment plan evaluation is important for future care decisions. Presently, an evaluation is based on dosimetric quantifiers for the tumor and organs at risk. However, these do not account for effects of varying dose-rate, tumor repopulation and other biological effects. In this work, incorporation of the biological response is used to obta...
Magnetic resonance spectroscopic images (MRSI) carry spatially resolved information about the in vivo metabolism, however, their evaluation is difficult. Problems arise especially from artifacts and noise, yielding non-evaluable signals in many voxels. We propose a two-step approach to the processing of MRSI. In the first step a non-linear classifier is employed in every voxel to determine whet...
Radiobiological metrics such as tumor control probability (TCP) and normal tissue complication probability (NTCP) help in assessing the quality of brachytherapy plans. Application of such metrics in clinics as well as research is still inadequate. This study presents the implementation of two indigenously designed plan evaluation modules: Brachy_TCP and Brachy_NTCP. Evaluation tools were constr...
The results of the immunofluorescence study with ELISA technique showed ELIZA for sera patients leishmaniasis L. Major Significant increase in cellular kinetics values, as interleukin reached 6 (IL6) 4.45±3.2 pg | ml, tumor necrosis factor -a) 0.32 ± 0.15 statistical recorded a significant at p<0.05 probability level control group samples. laboratory hematological covariance assays decrease ...
We investigate Monte Carlo based algorithms for solving stochastic control problems with local probabilistic constraints. Our motivation comes from microgrid management, where the controller tries to optimally dispatch a diesel generator while maintaining low probability of blackouts at each step. The key question we are empirical simulation procedures learning state-dependent admissible set th...
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