Biological Background of Benchmark Carcinogenic Data Sets

This chapter offers a thorough review of current research on the diagnostic prediction of carcinogenic diseases, with a focus on integrating patient-specific information at the gene, cell, and tissue levels. Advanced biological studies and microarray technology provide gene level data, which are essential for intelligent computing in the identification and classification of carcinogenic diseases. These data allow for the simultaneous monitoring of thousands of gene expression levels. Generally, cell level data, which are represented by microscopic blood smear images, have been visually analyzed by experienced technologists. An accurate diagnosis depends on identifying and detecting visual features that are impacted by the staining, smearing, and recording procedures. Tissue level data, exemplified by CT scan images, provide crucial insights into the distribution of physical attributes, essential for detecting and classifying carcinogenic diseases. This chapter explores the in-depth procedure for preparing CT scan, microscopic blood smear image, and microarray gene expression data. Additionally, standard benchmark data sets for these modalities are discussed, contributing to the advancement of research in the field.