Back to search

Article

Fully automatic identification and discrimination of sperm’s parts in microscopic images of stained human semen smear

2012-01-01

Abstract excerpt

In the last years, digital image processing and analysis are used for computer assisted evaluation of semen quality with therapeutic goals or to estimate its fertility by means of spermatozoid motility and morphology. Sperm morphology is assessed routinely as part of standard laboratory analysis in the diagnosis of human male infertility. Nowadays assessments of sperm morphology are mostly done based on subjective...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
30fd74fe-93f5-5627-88d6-0d4d5518c72d
DOI
10.4236/jbise.2012.57049
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Fully automatic identification and discrimination of sperm’s parts in microscopic images of stained human semen smearDOI 10.4236/jbise.2012.57049
Morphometric analysis of human sperm morphologySemantic proximity
An efficient method for automatic morphological abnormality detection from human sperm imagesSemantic proximity
Deep Learning-Based Robust Automated System for Predicting Human Sperm DNA Fragmentation IndexSemantic proximity
Deep Learning-Based Morphological Classification of Human Sperm HeadsSemantic proximity
Normal sperm head morphometric reference values in fertile Asian malesSemantic proximity
Automatic classification of human sperm head morphologySemantic proximity
Afterword to Sperm morphometrics today and tomorrow special issue in Asian Journal of AndrologySemantic proximity
A new real-time morphology classification for human spermatozoa: a link for fertilization and improved embryo qualitySemantic proximity
Assessing human sperm morphology: top models, underdogs or biometrics?Semantic proximity
Multidimensional morphological analysis of live sperm based on multiple-target trackingSemantic proximity
Automated Non-Invasive Analysis of Motile Sperms Using Sperm Feature-Correlated NetworkSemantic proximity
The role of sperm morphology in assisted reproductionSemantic proximity
Select a neighboring publication to make it the new centre.