A Review of the Applications of Artificial Intelligence in Histopathology
Author(s):
Soundarya Kandarpa1, Zachariah Chowdhury2, Paramita Rudra Pal2, Kirti Rajput2, and Sahil Ajit Saraf3,4*
In the modern world the number of pathologists are too few to cater to the needs of a growing and ageing population. The complexity of the report and the number of cases per year are constantly increasing. We need innovative solutions to combat this growing gap. In this review paper, we have discussed the basics of digital pathology and machine learning, and have collated a variety of existing AI algorithms, summarizing their applications in the histopathology workflow. We have explored the utility and function of these modules and examined the future trends in the evolving field of artificial intelligence in histopathology
