Artificial intelligence in the fertility clinic: status, pitfalls and possibilities
MA Riegler, MH Stensen, O Witczak… - Human …, 2021 - academic.oup.com
In recent years, the amount of data produced in the field of ART has increased exponentially.
The diversity of data is large, ranging from videos to tabular data. At the same time, artificial …
The diversity of data is large, ranging from videos to tabular data. At the same time, artificial …
[HTML][HTML] Artificial intelligence for sperm selection—a systematic review
Despite the increasing number of assisted reproductive technologies based treatments
being performed worldwide, there has been little improvement in fertilization and pregnancy …
being performed worldwide, there has been little improvement in fertilization and pregnancy …
A survey for cervical cytopathology image analysis using deep learning
Cervical cancer is one of the most common and deadliest cancers among women. Despite
that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test …
that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test …
A novel deep learning method for automatic assessment of human sperm images
S Javadi, SA Mirroshandel - Computers in biology and medicine, 2019 - Elsevier
Sperm morphology analysis (SMA) is a very important factor in the diagnosis process of
male infertility. This research proposes a novel deep learning algorithm for malformation …
male infertility. This research proposes a novel deep learning algorithm for malformation …
Multi-model CNN fusion for sperm morphology analysis
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 …
cases are related to male infertility. The first step in the determination of male infertility is …
Deep learning-based selection of human sperm with high DNA integrity
Despite the importance of sperm DNA to human reproduction, currently no method exists to
assess individual sperm DNA quality prior to clinical selection. Traditionally, skilled …
assess individual sperm DNA quality prior to clinical selection. Traditionally, skilled …
Prolificacy Assessment of Spermatozoan via state-of-the-art Deep Learning Frameworks
Childlessness or infertility among couples has become a global health concern. Due to the
rise in infertility, couples are looking for medical supports to attain reproduction. This paper …
rise in infertility, couples are looking for medical supports to attain reproduction. This paper …
A state-of-the-art survey for microorganism image segmentation methods and future potential
Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of
environmental changes, and decomposition of waste materials. However, some of them are …
environmental changes, and decomposition of waste materials. However, some of them are …
A fully automated hybrid human sperm detection and classification system based on mobile-net and the performance comparison with conventional methods
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 …
study, a smartphone-based hybrid system that fully automates the sperm morphological …
Impact of transfer learning for human sperm segmentation using deep learning
R Marín, V Chang - Computers in Biology and Medicine, 2021 - Elsevier
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 …
of the infertility cases are due to the malefactor. To diagnose infertility and determine future …