AIMC Topic: Semen Analysis

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Current Updates on Involvement of Artificial Intelligence and Machine Learning in Semen Analysis.

Medicina (Kaunas, Lithuania) Feb 6, 2024
: Infertility rates and the number of couples undergoing reproductive care have both increased substantially during the last few decades. Semen analysis is a crucial step in both the diagnosis and the treatment of male infertility. The accuracy of se...
Algorithms Male Humans Semen Analysis Artificial Intelligence Infertility, Male Machine Learning
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Multi-model CNN fusion for sperm morphology analysis.

Computers in biology and medicine Aug 24, 2021
Infertility is a common disorder affecting 20% of couples worldwide. Furthermore, 40% of all cases are related to male infertility. The first step in the determination of male infertility is semen analysis. The morphology, concentration, and motility...
Male Cell Count Semen Analysis Spermatozoa Humans Neural Networks, Computer Algorithms
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Impact of transfer learning for human sperm segmentation using deep learning.

Computers in biology and medicine Jul 29, 2021
BACKGROUND AND OBJECTIVE: Infertility affects approximately one in ten couples, and almost half of the infertility cases are due to the malefactor. To diagnose infertility and determine future treatment, a semen analysis is performed. Evaluation of s...
Male Humans Acrosome Deep Learning Semen Analysis Sperm Head Image Processing, Computer-Assisted Spermatozoa
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Machine learning for sperm selection.

Nature reviews. Urology May 17, 2021
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 being performed globally every year, but the success rate has rem...
Fertilization in Vitro Sperm Retrieval DNA Damage Semen Analysis Humans Machine Learning Male Cell Shape Infertility Spermatozoa Sperm Motility Sperm Injections, Intracytoplasmic
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Machine-learning algorithm incorporating capacitated sperm intracellular pH predicts conventional in vitro fertilization success in normospermic patients.

Fertility and sterility Jan 15, 2021
OBJECTIVE: To measure human sperm intracellular pH (pH) and develop a machine-learning algorithm to predict successful conventional in vitro fertilization (IVF) in normospermic patients.
Hydrogen-Ion Concentration Sperm Capacitation Intracellular Fluid Flow Cytometry Semen Analysis Infertility, Male Machine Learning Algorithms Forecasting Male Fertilization in Vitro Female Adult Humans
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Deep Learning Based Evaluation of Spermatozoid Motility for Artificial Insemination.

Sensors (Basel, Switzerland) Dec 24, 2020
We propose a deep learning method based on the Region Based Convolutional Neural Networks (R-CNN) architecture for the evaluation of sperm head motility in human semen videos. The neural network performs the segmentation of sperm heads, while the pro...
Humans Neural Networks, Computer Spermatozoa Insemination, Artificial Male Deep Learning Semen Analysis
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Reproductive outcomes predicted by phase imaging with computational specificity of spermatozoon ultrastructure.

Proceedings of the National Academy of Sciences of the United States of America Jul 20, 2020
The ability to evaluate sperm at the microscopic level, at high-throughput, would be useful for assisted reproductive technologies (ARTs), as it can allow specific selection of sperm cells for in vitro fertilization (IVF). The tradeoff between intrin...
Neural Networks, Computer Ovum Cattle Cattle Diseases Semen Analysis Image Processing, Computer-Assisted Female Infertility, Male Spermatozoa Animals Ovarian Follicle Male
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Multilevel approach to male fertility by machine learning highlights a hidden link between haematological and spermatogenetic cells.

Andrology Jun 21, 2020
BACKGROUND: Male infertility represents a complex clinical condition requiring an accurate multilevel assessment, in which machine learning technology, combining large data series in non-linear and highly interactive ways, could be innovatively appli...
Infertility, Male Lymphocyte Count Spermatogenesis Environment Erythrocyte Count Hematopoiesis Male Longitudinal Studies Semen Analysis Humans Retrospective Studies Machine Learning Female Algorithms Adult Databases, Factual
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A fully automated hybrid human sperm detection and classification system based on mobile-net and the performance comparison with conventional methods.

Medical & biological engineering & computing Mar 6, 2020
Sperm morphology, as an indicator of fertility, is a critical tool in semen analysis. In this study, a smartphone-based hybrid system that fully automates the sperm morphological analysis is introduced with the aim of eliminating unwanted human facto...
Smartphone Support Vector Machine Semen Analysis Adult Neural Networks, Computer Male Humans Spermatozoa Young Adult Deep Learning Image Interpretation, Computer-Assisted Wavelet Analysis
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Sperm Tail Defects and Abnormal Testicular Blood Flow in a Beagle Dog: A Case Report.

Topics in companion animal medicine Nov 8, 2019
A 5-year-old male Beagle dog produced ejaculates with a high percentage of spermatozoa with abnormal morphology, especially sperm tail defects. Although libido and semen volume were normal, ejaculates showed asthenospermia, oligozoospermia, and terat...
Testis Dogs Animals Semen Analysis Ultrasonography, Doppler Male Spermatozoa Dog Diseases Testosterone Sperm Tail
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