Publications by authors named "Yasamin Mirzabeigi"

Article Synopsis
  • The study aimed to investigate the relationship between the histological characteristics of esophageal candidiasis and various clinical factors, highlighting instances where inflammation might not be present.
  • A review of 53 biopsy specimens revealed that acute inflammation was absent in about 38% of cases, and smoking significantly correlated with this absence of inflammation.
  • Findings suggest that smokers may experience a unique immunosuppressive effect in relation to esophagitis, as the inflammation was often missing in their biopsies compared to non-smokers.
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Introduction: In the realm of computational pathology, the scarcity and restricted diversity of genitourinary (GU) tissue datasets pose significant challenges for training robust diagnostic models. This study explores the potential of Generative Adversarial Networks (GANs) to mitigate these limitations by generating high-quality synthetic images of rare or underrepresented GU tissues. We hypothesized that augmenting the training data of computational pathology models with these GAN-generated images, validated through pathologist evaluation and quantitative similarity measures, would significantly enhance model performance in tasks such as tissue classification, segmentation, and disease detection.

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