_ | sperm | _ |
3-D+t Human | sperm | Flagellum Tracing in Low SNR Fluorescence Images |
Automated Non-Invasive Measurement of Single | sperm | 's Motility and Morphology |
Automated | sperm | Assessment Framework and Neural Network Specialized for Sperm Video Recognition |
Automated | sperm | Assessment Framework and Neural Network Specialized for Sperm Video Recognition |
Automatic Tracking and Motility Analysis of Human | sperm | in Time-Lapse Images |
Classification and Quantification Based on Image Analysis for | sperm | Samples with Uncertain Damaged/Intact Cell Proportions |
Classification of human | sperm | heads using elliptic features and LDA |
Efficient and robust segmentation and tracking of | sperm | cells in microscopic image sequences |
Estimation of | sperm | Concentration and Total Motility from Microscopic Videos of Human Semen Samples |
Measure of Tortuosity for 3d Curves: Identifying 3d Beating Patterns of | sperm | Flagella, A |
Multiple | sperm | tracking in microscopic videos using modified GM-PHD filter |
robust | sperm | cell tracking algorithm using uneven lighting image fixing and improved branch and bound algorithm, A |
| sperm | Cells Segmentation in Micrographic Images Through Lambertian Reflectance Model |
| sperm | Flagellum Center-Line Tracing in Fluorescence 3D+t Low SNR Stacks Using an Iterative Minimal Path Method |
Vitality Assessment of Boar | sperm | Using an Adaptive LBP Based on Oriented Deviation |
Vitality Assessment of Boar | sperm | Using N Concentric Squares Resized (NCSR) Texture Descriptor in Digital Images |
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