Intelligent Computing Approaches for Carcinogenic Disease Detection: A Review
摘要
This chapter provides an overview of recent advancements in the identification and classification of cancer-causing disorders, focusing on intelligent diagnosis through the application of diverse machine learning techniques. In the last few years, researchers have developed advanced methods that make use of gene, cell, and tissue databases. The chapter provides an overview of the different approaches used in this sector and provides insight into how intelligent technologies are changing the landscape of cancer detection. The significance of these strategies is analyzed, offering insights into how they might improve diagnosis accuracy and advance our understanding of cancer-related disorders.