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[1]
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A new deep‐learning model using YOLOv3 to support sperm selection during intracytoplasmic sperm injection procedure
Reproductive Medicine and Biology,
2022
DOI:10.1002/rmb2.12454
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[2]
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A new deep‐learning model using YOLOv3 to support sperm selection during intracytoplasmic sperm injection procedure
Reproductive Medicine and Biology,
2022
DOI:10.1002/rmb2.12454
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[3]
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Sperm Motility Analysis by using Recursive Kalman Filters with the smartphone based data acquisition and reporting approach
Expert Systems with Applications,
2021
DOI:10.1016/j.eswa.2021.115774
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[4]
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Faster region convolutional neural network and semen tracking algorithm for sperm analysis
Computer Methods and Programs in Biomedicine,
2021
DOI:10.1016/j.cmpb.2020.105918
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[5]
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Sperm Motility Analysis by using Recursive Kalman Filters with the smartphone based data acquisition and reporting approach
Expert Systems with Applications,
2021
DOI:10.1016/j.eswa.2021.115774
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[6]
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Sperm Motility Analysis by using Recursive Kalman Filters with the smartphone based data acquisition and reporting approach
Expert Systems with Applications,
2021
DOI:10.1016/j.eswa.2021.115774
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[7]
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Sperm Motility Analysis by using Recursive Kalman Filters with the smartphone based data acquisition and reporting approach
Expert Systems with Applications,
2021
DOI:10.1016/j.eswa.2021.115774
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[8]
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Efficient and robust segmentation and tracking of sperm cells in microscopic image sequences
IET Computer Vision,
2019
DOI:10.1049/iet-cvi.2018.5662
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[9]
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Efficient and robust segmentation and tracking of sperm cells in microscopic image sequences
IET Computer Vision,
2019
DOI:10.1049/iet-cvi.2018.5662
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[10]
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Efficient and robust segmentation and tracking of sperm cells in microscopic image sequences
IET Computer Vision,
2019
DOI:10.1049/iet-cvi.2018.5662
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[11]
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Objective assessment of bull sperm motility parameters using computer vision algorithms
African Journal of Biotechnology,
2017
DOI:10.5897/AJB2017.16122
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[12]
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Multi-sperm tracking using Hungarian Kalman Filter on low frame rate video
2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS),
2016
DOI:10.1109/ICACSIS.2016.7872796
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[13]
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Visual Tracking for Abrupt Motions of Human Sperm Using Smoothing Stochastic Approximate Monte Carlo
Procedia Computer Science,
2015
DOI:10.1016/j.procs.2015.07.338
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[14]
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Human Sperm tracking using Particle Swarm Optimization combined with Smoothing Stochastic sampling on low frame rate video
2015 International Symposium on Micro-NanoMechatronics and Human Science (MHS),
2015
DOI:10.1109/MHS.2015.7438308
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[15]
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Automatic sperm motility measurement
2015 International Conference on Information Technology Systems and Innovation (ICITSI),
2015
DOI:10.1109/ICITSI.2015.7437674
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