|
[1]
|
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
|
|
|
|
|
[2]
|
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
|
|
|
|
|
[3]
|
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
|
|
|
|
|
[4]
|
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
|
|
|
|
|
[5]
|
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
|
|
|
|
|
[6]
|
Efficient and robust segmentation and tracking of sperm cells in microscopic image sequences
IET Computer Vision,
2019
DOI:10.1049/iet-cvi.2018.5662
|
|
|
|
|
[7]
|
Objective assessment of bull sperm motility parameters using computer vision algorithms
African Journal of Biotechnology,
2017
DOI:10.5897/AJB2017.16122
|
|
|
|
|
[8]
|
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
|
|
|
|
|
[9]
|
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
|
|
|
|
|
[10]
|
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
|
|
|
|
|
[11]
|
Automatic sperm motility measurement
2015 International Conference on Information Technology Systems and Innovation (ICITSI),
2015
DOI:10.1109/ICITSI.2015.7437674
|
|
|
|