Background: The significant advancement in digital imaging, data management, advanced computational power, and artificial neural network have an immense impact on the field of cytology. The amalgamation of these areas has generated a newer discipline known as computational cytology.
Aims and objective: In To discuss the various important aspects of computational cytology.
Materials and methods: We reviewed the different studies published in English during the last few years on computational cytology.
Result: Computational cytology is a newer and emerging discipline in pathology that deals with the patient's meta-data and digital image data to make a mathematical model to produce diagnostic interpretations and predictions. The role of the cytologist is now changing from a simple observational scientist and slide interpreter to a dynamic and integrated multi-parametric prediction-based scientist.
Conclusion: In the current stage, the cytologist must understand the situation and should have a vision of the complete scenario on computational cytology.
Keywords: artificial neural network; computational cytology; digital imaging.
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