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A novel validated real-world dataset for the diagnosis of multi-class serous effusion cytology according to TIS and ground-truth validation data.

Esraa Abd-AlmoniemNadia Abd-AlsabourSamar ElsheikhRasha R MostafaYasmine Fathy Elesawy
Published in: Acta cytologica (2024)
This is the first and largest publicly available serous fluid cytology dataset based on a standardized diagnostic system. It is also the first dataset to include various types of effusions and is the first dataset to include pericardial fluid specimens. In addition, it is the first dataset to include the diagnostically challenging atypical categories. AI algorithms applied on this novel dataset show reliable results that can incorporated in actual clinical practice with minimal risk of missing a diagnosis of malignancy. This work provides a foundation for researchers to develop and test further AI algorithms for the diagnosis of serous effusions.
Keyphrases
  • high grade
  • machine learning
  • clinical practice
  • fine needle aspiration
  • artificial intelligence
  • deep learning
  • electronic health record
  • big data
  • ultrasound guided