Computational Intelligence in Cancer Diagnosis: Unlocking Progress and Overcoming Challenges

Are you interested in exploring the current state of computational intelligence in cancer research? Look no further! “Computational Intelligence in Cancer Diagnosis: Progress and Challenges” by Janmenjoy Nayak provides valuable insights into the strengths and weaknesses of various applications and research findings in this field.

Expert Insights from International Experts

This comprehensive book brings together contributions from renowned international experts from both cancer research and computational intelligence backgrounds. As a result, it offers a unique blend of perspectives, making it accessible and informative for readers from diverse backgrounds, including those with no prior knowledge of informatics.

Covering the Spectrum of Computational Intelligence Techniques

The book delves into an array of computational intelligence techniques, including:

• Neural Networks
• Fuzzy Logic
• Connectionist Systems
• Genetic Algorithms
• Evolutionary Computation
• Cellular Automata
• Self-Organizing Systems
• Soft Computing
• Fuzzy Systems
• Hybrid Intelligent Systems

These topics are crucial in understanding the diagnosis, treatment, and prevention of various cancer types. The book’s expert authors provide case studies that demonstrate the applications of intelligent computing in data analysis, helping readers to enhance their research in cancer.

Stay Updated with the Latest Research and Advances

This book offers the most recent information on advanced computational intelligence techniques, ensuring that readers are well-equipped to tackle the challenges of cancer diagnosis and research.

Whether you’re a seasoned researcher or an aspiring scientist, “Computational Intelligence in Cancer Diagnosis: Progress and Challenges” is an indispensable resource for advancing your knowledge and understanding of this critical field.

Publisher: Elsevier Science
Publication Date: April 12, 2023
Language: English
ISBN: 9780323852401, 9780323903530