Study on sperm-cell detection using yolov5 architecture with labaled dataset

M Dobrovolny, J Benes, J Langer, O Krejcar, A Selamat - Genes, 2023 - mdpi.com
Infertility has recently emerged as a severe medical problem. The essential elements in
male infertility are sperm morphology, sperm motility, and sperm density. In order to analyze …

A fully automated hybrid human sperm detection and classification system based on mobile-net and the performance comparison with conventional methods

HO Ilhan, IO Sigirci, G Serbes, N Aydin - Medical & biological engineering …, 2020 - Springer
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 …

A computer vision approach to analyze and classify tool wear level in milling processes using shape descriptors and machine learning techniques

MT García-Ordás, E Alegre, V González-Castro… - … International Journal of …, 2017 - Springer
In this paper, we present a new approach to categorize the wear of cutting tools used in
edge profile milling processes. It is based on machine learning and computer vision …

[HTML][HTML] Artificial Intelligence and Porcine Breeding

FA García-Vázquez - Animal Reproduction Science, 2024 - Elsevier
Livestock management is evolving into a new era, characterized by the analysis of vast
quantities of data (big data) collected from both traditional breeding methods and new …

Automatic classification of human sperm head morphology

V Chang, L Heutte, C Petitjean, S Härtel… - Computers in biology and …, 2017 - Elsevier
Background and objective: Infertility is a problem that affects up to 15% of couples worldwide
with emotional and physiological implications and semen analysis is the first step in the …

Sperm Motility Analysis by using Recursive Kalman Filters with the smartphone based data acquisition and reporting approach

HO Ilhan, M Yuzkat, N Aydin - Expert Systems with Applications, 2021 - Elsevier
Semen analysis is currently performed by using two techniques. Visual assessment
technique is manual observation based technique and strongly depends on the experiences …

Automatic detection and segmentation of sperm head, acrosome and nucleus in microscopic images of human semen smears

F Shaker, SA Monadjemi, AR Naghsh-Nilchi - Computer methods and …, 2016 - Elsevier
Background and objective Manual assessment of sperm morphology is subjective and error
prone so developing automatic methods is vital for a more accurate assessment. The first …

An improved U-Net for human sperm head segmentation

Q Lv, X Yuan, J Qian, X Li, H Zhang, S Zhan - Neural Processing Letters, 2022 - Springer
Sperm morphology analysis is an important step in the clinical diagnosis of male infertility,
which means that the shape of sperm head is an important indicator in sperm morphology …

A novel data acquisition and analyzing approach to spermiogram tests

HO Ilhan, N Aydin - Biomedical Signal Processing and Control, 2018 - Elsevier
Spermiogram tests are currently performed in two ways; computer assisted and visual
assessment. Computerized techniques are costly and parameter dependent. Therefore, it is …

Smartphone based sperm counting-an alternative way to the visual assessment technique in sperm concentration analysis

HO Ilhan, N Aydin - Multimedia Tools and Applications, 2020 - Springer
Sperm Counting is the first phase of the infertility diagnosis. Computer Aided Sperm Analysis
(CASA) and Visual Assessment (VA) are two evaluation techniques employed in analyses …