Research Articles
Hormonal Control of Endometrial Gene Expression: From Molecular Mechanisms to Clinical Translation
This comprehensive review synthesizes current knowledge on how ovarian steroid hormones estradiol and progesterone orchestrate dynamic gene expression programs in the human endometrium throughout the menstrual cycle.
Decoding Endometrial Transcriptome Dynamics: From Menstrual Cycle to Clinical Applications in Reproductive Health
This comprehensive review explores the dynamic transcriptional landscape of the human endometrium throughout the menstrual cycle, integrating cutting-edge single-cell and spatial transcriptomic technologies.
Inter-Algorithm Agreement in Sperm Morphology Assessment: Resolving Variability with AI and Standardized Methods
Sperm morphology assessment is a critical yet highly variable component of male fertility evaluation, with significant implications for clinical decision-making in assisted reproductive technologies.
Validating Automated Sperm Morphology Analysis: From AI-Powered CASA Systems to Clinical and Research Applications
This article provides a comprehensive review of the validation frameworks for automated sperm morphology analysis systems, focusing on the transition from traditional Computer-Aided Semen Analysis (CASA) to artificial intelligence (AI)...
Benchmarking Sperm Morphology Datasets and AI Algorithms: A 2025 Review for Biomedical Research
This article provides a comprehensive benchmark of current sperm morphology datasets and the machine learning algorithms designed to analyze them.
Evaluating AI Performance in Sperm Morphology Classification: Key Metrics, Model Architectures, and Clinical Validation
This article provides a comprehensive analysis of performance metrics for artificial intelligence (AI) models in sperm morphology classification, a critical tool for objective male fertility assessment.
Advances in Sperm Morphology Classification Algorithms: From Manual Assessment to AI-Driven Precision
This article provides a comprehensive analysis of the evolution and current state of sperm morphology classification algorithms, tailored for researchers, scientists, and drug development professionals in reproductive medicine.
Deep Learning vs. Traditional Machine Learning for Sperm Morphology Analysis: A Comparative Review for Biomedical Research
This article provides a comprehensive analysis of deep learning (DL) and traditional machine learning (ML) methodologies for automated sperm morphology analysis (SMA), a critical yet subjective component of male infertility...
CNN vs. SVM for Sperm Classification: A Comparative Analysis of Deep Learning and Traditional Machine Learning in Reproductive Medicine
This article provides a comprehensive comparison of Convolutional Neural Networks (CNN) and Support Vector Machines (SVM) for automated sperm morphology classification, a critical task in male fertility diagnostics.
Navigating Data Quality Challenges in Sperm Image Analysis: From Dataset Biases to AI-Ready Solutions
This article provides a comprehensive analysis of the critical data quality issues plaguing sperm image datasets, which are essential for developing robust AI-assisted fertility diagnostics.