About This Course

Are you confused about 'convolutional neural networks' or fretful about 'feature extractors'? Does the term 'data wrangling' put you in a dither?

The incorporation of digital pathology into routine pathology, including cytopathology, practice is becoming more widespread and accepted. It is even anticipated that digital pathology will be the next entity to revolutionize cytopathology - in much the same way as immunocytochemistry and molecular techniques did.  

While most cytology personnel will probably not want to know about every technical feature of machine learning or digital pathology, a basic appreciation of the 'how' and 'why' is required.

This course supplements the special issue of Acta Cytologica on Digital and Computational Cytology.

This course  should take you approximately 30 minutes to complete.

This course has a 2-year expiry date of 30th May 2025. If you complete this course after its expiry date, please double check all claims in this course with up-to-date, peer-reviewed information, as the diagnostic or treatment landscape may have changed.

Learning Objectives

  • Be able to define 'digital pathology' at a basic level

  • Understand implications of 'digital pathology' in real-world scenarios faced by cytologists

  • Experience bite-sized versions of tasks faced by digital pathologists

Course curriculum

    1. How to navigate

    1. Main Course

    1. Short Post-Course Survey - Please Complete!

About this course

  • Free
  • 3 lessons
  • 0 hours of video content

Expert Faculty

Pamela Michelow 

Anatomical Pathology Department, National Health Laboratory Service and University of the Witwatersrand, Johannesburg, South Africa

Ewen McAlpine

Anatomical Pathology Department, National Health Laboratory Service and University of the Witwatersrand, Johannesburg, South Africa


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