Computational Intelligence in Cancer Diagnosis is popular PDF and ePub book, written by Janmenjoy Nayak in 2023-04-12, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Computational Intelligence in Cancer Diagnosis can be Read Online from any device for your convenience.
Computational Intelligence in Cancer Diagnosis Book PDF Summary
Computational Intelligence in Cancer Diagnosis: Progress and Challenges provides insights into the current strength and weaknesses of different applications and research findings on computational intelligence in cancer research. The book improves the exchange of ideas and coherence among various computational intelligence methods and enhances the relevance and exploitation of application areas for both experienced and novice end-users. Topics discussed include neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. The book's chapters are written by international experts from both cancer research, oncology and computational sides to cover different aspects and make it comprehensible for readers with no background on informatics. Contains updated information about advanced computational intelligence, spanning the areas of neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems in diagnosing cancer diseases Discusses several cancer types, including their detection, treatment and prevention Presents case studies that illustrate the applications of intelligent computing in data analysis to help readers to analyze and advance their research in cancer
Detail Book of Computational Intelligence in Cancer Diagnosis PDF
- Author : Janmenjoy Nayak
- Release : 12 April 2023
- Publisher : Academic Press
- ISBN : 9780323903530
- Genre : Science
- Total Page : 422 pages
- Language : English
- PDF File Size : 14,6 Mb
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