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Computational intelligence in cancer diagnosis : progress and challenges /

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 com...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Nayak, Janmenjoy
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London ; San Diego, CA : Academic Press, an imprint of Elsevier, [2023]
Edición:First edition.
Temas:
Acceso en línea:Texto completo

MARC

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020 |z 9780323852401 
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035 |a (OCoLC)1378019450  |z (OCoLC)1376190783 
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082 0 4 |a 616.99/4075  |2 23/eng/20230501 
245 0 0 |a Computational intelligence in cancer diagnosis :  |b progress and challenges /  |c Janmenjoy Nayak [and more]. 
250 |a First edition. 
264 1 |a London ;  |a San Diego, CA :  |b Academic Press, an imprint of Elsevier,  |c [2023] 
300 |a 1 online resource (1 volume) :  |b illustrations (black and white, and colour). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a 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. 
588 |a Description based on online resource; title from digital title page (viewed on June 26, 2023). 
650 0 |a Cancer  |x Diagnosis  |x Data processing. 
650 0 |a Computational intelligence. 
650 2 |a Neoplasms  |x diagnosis  |0 (DNLM)D009369Q000175 
650 6 |a Cancer  |0 (CaQQLa)201-0090660  |x Diagnostic  |0 (CaQQLa)201-0090660  |x Informatique.  |0 (CaQQLa)201-0380011 
650 6 |a Intelligence informatique.  |0 (CaQQLa)201-0265216 
650 7 |a Cancer  |x Diagnosis  |x Data processing  |2 fast  |0 (OCoLC)fst00845346 
650 7 |a Computational intelligence  |2 fast  |0 (OCoLC)fst00871995 
700 1 |a Nayak, Janmenjoy. 
776 0 8 |i Print version:  |t COMPUTATIONAL INTELLIGENCE IN CANCER DIAGNOSIS.  |d [Place of publication not identified] : ELSEVIER ACADEMIC PRESS, 2022  |z 0323852408  |w (OCoLC)1284287820 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780323852401  |z Texto completo