Efficient and robust segmentation and tracking of sperm cells in microscopic image sequences
Sperm motility analysis is an important factor in male fertility diagnosis. This article presents a hybrid segmentation method to detect sperm cells, which is robust to density variation of the cells in the image sequences. In addition, a preprocessing scheme is employed to remove fixed sperm cells...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-08-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2018.5662 |