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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.
Covers advanced methodologies, challenges and solutions for the diagnosis of diversified cancer types
Computational Intelligence in Cancer Diagnosis: Progress and Challenges provides an insight into current strength and weaknesses of different applications as well as research findings on computational intelligence in cancer research. It 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.
The book discusses topics such as neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. The chapters are written by international experts from both cancer research/oncology and computational sides to cover different aspects to make it comprehensible even by readers with no background on informatics.
It is a valuable source for cancer researchers, oncologists and members of biomedical fields who are interested in learning about new technologies to improve the accuracy of cancer diagnosis.
Publisher : Academic Press; 1st edition (April 27, 2023)
Language : English
Paperback : 420 pages
ISBN-10 : 0323852408
ISBN-13 : 978-0323852401
