Search alternatives:
solution optimization » production optimization (Expand Search), reaction optimization (Expand Search), function optimization (Expand Search)
cell optimization » field optimization (Expand Search), wolf optimization (Expand Search), lead optimization (Expand Search)
based solution » based solutions (Expand Search), based selection (Expand Search), based simulation (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
lens » less (Expand Search)
solution optimization » production optimization (Expand Search), reaction optimization (Expand Search), function optimization (Expand Search)
cell optimization » field optimization (Expand Search), wolf optimization (Expand Search), lead optimization (Expand Search)
based solution » based solutions (Expand Search), based selection (Expand Search), based simulation (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
lens » less (Expand Search)
-
21
-
22
Image4_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF
Published 2022“…The networks have been trained to predict quantitative representation of the cell measurements that can be next translated into measurement lists with a local maxima algorithm. In this article, we discuss the performance and limitations of this novel deep learning-based quantification pipeline in comparison with a standard image processing solution. …”
-
23
Image1_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF
Published 2022“…The networks have been trained to predict quantitative representation of the cell measurements that can be next translated into measurement lists with a local maxima algorithm. In this article, we discuss the performance and limitations of this novel deep learning-based quantification pipeline in comparison with a standard image processing solution. …”
-
24
Image3_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF
Published 2022“…The networks have been trained to predict quantitative representation of the cell measurements that can be next translated into measurement lists with a local maxima algorithm. In this article, we discuss the performance and limitations of this novel deep learning-based quantification pipeline in comparison with a standard image processing solution. …”
-
25
Image2_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF
Published 2022“…The networks have been trained to predict quantitative representation of the cell measurements that can be next translated into measurement lists with a local maxima algorithm. In this article, we discuss the performance and limitations of this novel deep learning-based quantification pipeline in comparison with a standard image processing solution. …”
-
26
DataSheet1_CNN-Based Cell Analysis: From Image to Quantitative Representation.pdf
Published 2022“…The networks have been trained to predict quantitative representation of the cell measurements that can be next translated into measurement lists with a local maxima algorithm. In this article, we discuss the performance and limitations of this novel deep learning-based quantification pipeline in comparison with a standard image processing solution. …”
-
27
-
28
-
29
-
30
-
31
-
32
Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf
Published 2024“…To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. …”
-
33
adjoint-elastic-registration.zip from Organ registration from partial surface data in augmented surgery from an optimal control perspective
Published 2023“…After a discussion about the existence of solutions, we analyse the necessary optimality conditions and use them to derive a suitable optimization algorithm. …”
-
34
-
35
-
36
-
37
-
38
-
39
-
40