Computational Intelligence in Cancer Diagnosis: A Comprehensive Guide

Written by renowned author Janmenjoy Nayak, Computational Intelligence in Cancer Diagnosis: Progress and Challenges is a seminal work that delves into the current state of computational intelligence in cancer research. This book provides valuable insights into the strengths and weaknesses of various applications and research findings, facilitating the exchange of ideas and coherence among different computational intelligence methods.

Expert Insights and Coverage

The book features contributions from international experts in cancer research, oncology, and computational fields, making it an authoritative resource for both seasoned professionals and novices. The chapters cover a wide range of topics, including:

• Neural networks and their applications in cancer diagnosis
• Fuzzy logic and its role in cancer research
• Connectionist systems and their potential in cancer treatment
• Genetic algorithms and evolutionary computation in cancer diagnosis
• Cellular automata, self-organizing systems, and soft computing in cancer research
• Fuzzy systems and hybrid intelligent systems in cancer diagnosis

Advancements in Cancer Diagnosis and Treatment

This book provides updated information on advanced computational intelligence methods, covering various aspects of cancer diagnosis, treatment, and prevention. It explores different types of cancer, including their detection, treatment, and prevention, and presents case studies that illustrate the applications of intelligent computing in data analysis.

By analyzing and advancing research in cancer diagnosis and treatment, this book serves as a valuable resource for researchers, oncologists, and healthcare professionals. Its comprehensive coverage and expert insights make it an essential read for anyone interested in the intersection of computational intelligence and cancer research.

Book Details:

Publisher: Elsevier Science

Publication Date: April 12, 2023

Language: English

ISBN: 9780323852401, 9780323903530