Cancer Detection Using Deep Neural Network Differentiation of Squamous Carcinoma Cells in Oral Pathology
Jayanthi Ganapathy · 2023
In this modern era, computer-aided differentiation of normal and cancer cells helps in assisting oral pathologists for the diagnosis of oral cancers. The most common modality in the diagnosis of oral cancer is histopathology. This chapter presents the data engineering tasks involved in the diagnosis of anomalous tissues. The advent of modern tools and techniques used for feature selection and extraction using microscopic images of the tissues will be explained. Deep learning workflow for the well differentiation of squamous carcinoma cells using histopathologic images is illustrated with the implementation of using deep learning modules and technologies. Toward the end, summary on research challenges in digital pathology is presented. Finally, this chapter concludes with future research directions.