Diagnostic utility of transfer learning by using convolutional neural network for cytological diagnosis of malignant effusions.

Journal: Diagnostic cytopathology
PMID:

Abstract

INTRODUCTION: Cytological analysis of effusion specimens provides critical information regarding the diagnosis and staging of malignancies, thus guiding their treatment and subsequent monitoring. Keeping in view the challenges encountered in the morphological interpretation, we explored convolutional neural networks (CNNs) as an important tool for the cytological diagnosis of malignant effusions.

Authors

  • Manisha Panda
    Department of Pathology, IMS & SUM Hospital, Bhubaneswar, India.
  • Priyadarshini Dehuri
    Department of Pathology, IMS & SUM Hospital, Bhubaneswar, India.
  • Debahuti Mohapatra
    Department of Pathology, IMS & SUM Hospital, Bhubaneswar, India.
  • Ankesh Kumar Pandey
    Adobe Systems, Noida, India.