Search alternatives:
guided optimization » model optimization (Expand Search), driven optimization (Expand Search)
based optimization » whale optimization (Expand Search), bayesian optimization (Expand Search)
binary mask » binary image (Expand Search)
mask guided » marker guided (Expand Search), image guided (Expand Search)
task based » risk based (Expand Search)
guided optimization » model optimization (Expand Search), driven optimization (Expand Search)
based optimization » whale optimization (Expand Search), bayesian optimization (Expand Search)
binary mask » binary image (Expand Search)
mask guided » marker guided (Expand Search), image guided (Expand Search)
task based » risk based (Expand Search)
-
21
Friedman average rank sum test results.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
-
22
IRBMO vs. variant comparison adaptation data.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
-
23
-
24
Models and Dataset
Published 2025“…</p><p dir="ltr"><br></p><p dir="ltr"><b>RAO (Rao Optimization Algorithm):</b><br>RAO is a parameter-less optimization algorithm that updates solutions based on simple arithmetic operations involving the best and worst individuals in the population. …”