Conclusion

The intelligent approaches for the detection and classification of different carcinogenic diseases are presented in this book, with an emphasis on information at the gene, cell, and tissue levels. The suggested frameworks achieve strong outcomes in microscopic image investigations and DNA microarray data processing by employing intelligent assessment criteria. Important contributions include the study of gene subset identification, improved gene selection using an adaptive k-NN strategy based on PSO, and sophisticated methods for lung nodule and leukocyte detection and categorization. These methods offer medical professionals a helpful second opinion and perform on par with or better than existing methods. The book also highlights future research possibilities, stressing the value of standardized diagnostic methods and the promise of deep learning networks in biomedical image analysis. It also emphasizes the applicability of microarray technology in clinical microbiology and multimodal medical imaging in advancing cancer research and intelligent diagnostics.