Computational Intelligence in Cancer Diagnosis

Progress and Challenges

de

Éditeur :

Academic Press


Paru le : 2023-04-12



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈 ebook sans DRM
Lecture en ligne (streaming)
168,80

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description
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
Pages
420 pages
Collection
n.c
Parution
2023-04-12
Marque
Academic Press
EAN papier
9780323852401
EAN PDF
9780323903530

Informations sur l'ebook
Nombre pages copiables
42
Nombre pages imprimables
42
Taille du fichier
27494 Ko
Prix
168,80 €
EAN EPUB SANS DRM
9780323903530

Prix
168,80 €

Suggestions personnalisées