Machine learning for sperm selection
Infertility rates and the number of couples seeking fertility care have increased worldwide
over the past few decades. Over 2.5 million cycles of assisted reproductive technologies are …
over the past few decades. Over 2.5 million cycles of assisted reproductive technologies are …
Application of artificial intelligence in gametes and embryos selection
K Si, B Huang, L Jin - Human Fertility, 2023 - Taylor & Francis
Gamete and embryo quality are critical to the success rate of Assisted Reproductive
Technology (ART) cycles, but there remains a lack of methods to accurately measure the …
Technology (ART) cycles, but there remains a lack of methods to accurately measure the …
Sperm Motility Analysis by using Recursive Kalman Filters with the smartphone based data acquisition and reporting approach
Semen analysis is currently performed by using two techniques. Visual assessment
technique is manual observation based technique and strongly depends on the experiences …
technique is manual observation based technique and strongly depends on the experiences …
3-D Human Sperm Flagellum Tracing in Low SNR Fluorescence Images
P Hernandez-Herrera, F Montoya… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Tracing tubular structures from biomedical images is important for a wide range of
applications. Particularly, the spermatozoon is an essential cell whose flagella have a …
applications. Particularly, the spermatozoon is an essential cell whose flagella have a …
Multi-target tracking of human spermatozoa in phase-contrast microscopy image sequences using a hybrid dynamic Bayesian network
A Arasteh, B Vosoughi Vahdat, R Salman Yazdi - Scientific reports, 2018 - nature.com
Male infertility is mostly related to semen and spermatozoa, and any diagnosis or treatment
requires the investigation of the motility patterns of spermatozoa. The movements of …
requires the investigation of the motility patterns of spermatozoa. The movements of …
Efficient detection and robust tracking of spermatozoa in microscopic video
R Zhu, Y Cui, E Hou, J Huang - IET Image Processing, 2021 - Wiley Online Library
Sperm concentration and motility are generally analysed only in the discrete state in
microscopic videos. As for sperm nonspecific aggregation areas, it brings difficulties to …
microscopic videos. As for sperm nonspecific aggregation areas, it brings difficulties to …
Robust compressive tracking via online weighted multiple instance learning
SS Sengar - arXiv preprint arXiv:2406.09914, 2024 - arxiv.org
Developing a robust object tracker is a challenging task due to factors such as occlusion,
motion blur, fast motion, illumination variations, rotation, background clutter, low resolution …
motion blur, fast motion, illumination variations, rotation, background clutter, low resolution …
Multistage optimization using a modified gaussian mixture model in sperm motility tracking
Infertility is a condition whereby pregnancy does not occur despite having unprotected
sexual intercourse for at least one year. The main reason could originate from either the …
sexual intercourse for at least one year. The main reason could originate from either the …
[PDF][PDF] Research Article Multistage Optimization Using a Modified Gaussian Mixture Model in Sperm Motility Tracking
Infertility is a condition whereby pregnancy does not occur despite having unprotected
sexual intercourse for at least one year. The main reason could originate from either the …
sexual intercourse for at least one year. The main reason could originate from either the …
Multiple Cell Tracking by Ripple Spreading Optimization
J Shi, B Xu, M Lu, P Zhu, J Zhu - 2018 International Conference …, 2018 - ieeexplore.ieee.org
Multiple Object Tracking (MOT) or Multiple Target Tracking (MTT) is an important computer
vision task which focuses on detecting multiple targets of interests in videos or sequential …
vision task which focuses on detecting multiple targets of interests in videos or sequential …