Ouafa Talha

ORCID: 0009-0000-5058-4188
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About
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Research Areas
  • Advanced Neural Network Applications
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Advanced biosensing and bioanalysis techniques
  • CCD and CMOS Imaging Sensors
  • Biosensors and Analytical Detection
  • Face recognition and analysis
  • Generative Adversarial Networks and Image Synthesis
  • Cell Image Analysis Techniques

Shanghai University
2025

ABSTRACT Embryo morphology assessment is crucial for determining embryo viability in assisted reproductive technology. Traditional manual evaluation, while currently the primary method, time‐consuming, resource‐intensive, and prone to inconsistencies due complex analysis of morphological parameters such as cell shape, size, blastomere count. For rapid accurate recognition quantification blastomeres images, Attention Gated‐RetinaNet (AG‐RetinaNet) model proposed this article. AG‐RetinaNet...

10.1002/ima.70034 article EN International Journal of Imaging Systems and Technology 2025-01-01
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