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Computational Intelligence in Cancer Diagnosis : Progress and Challenges

By: (Edited by) Bighnaraj Naik , (Edited by) Danilo Pelusi , (Edited by) David Al-Dabass , (Edited by) India) Nayak Mayurbhanj Janmenjoy University , (Edited by) South Korea) Muhammad Seoul Sungkyunkwan University Ph.D. Khan , (Edited by) Manohar Mishra

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Ksh 24,850.00

Format: Paperback or Softback

ISBN-10: 0323852408

ISBN-13: 9780323852401

Publisher: Elsevier Science & Technology

Imprint: Academic Press Inc

Country of Manufacture: NL

Country of Publication: GB

Publication Date: Apr 13th, 2023

Print length: 420 Pages

Weight: 834 grams

Dimensions (height x width x thickness): 19.10 x 23.50 x 2.40 cms

Product Classification: Life sciences: general issues

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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.

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