386,36 €
429,29 €
-10% with code: EXTRA
Neutrosophic Set in Medical Image Analysis
Neutrosophic Set in Medical Image Analysis
386,36
429,29 €
  • We will send in 10–14 business days.
Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into neutrosophic set's novel techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a generalization of fuzzy set, offers the prospect of overcoming the restrictio…
  • Publisher:
  • ISBN-10: 0128181486
  • ISBN-13: 9780128181485
  • Format: 19.1 x 23.5 x 2 cm, softcover
  • Language: English
  • SAVE -10% with code: EXTRA

Neutrosophic Set in Medical Image Analysis (e-book) (used book) | bookbook.eu

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Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into neutrosophic set's novel techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a generalization of fuzzy set, offers the prospect of overcoming the restrictions of fuzzy-based approaches to medical image analysis.

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  • Publisher:
  • ISBN-10: 0128181486
  • ISBN-13: 9780128181485
  • Format: 19.1 x 23.5 x 2 cm, softcover
  • Language: English English

Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into neutrosophic set's novel techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a generalization of fuzzy set, offers the prospect of overcoming the restrictions of fuzzy-based approaches to medical image analysis.

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