Medical image processing advanced (24 résultats)

Etat : Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition.Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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Etat : New. pp. 236.

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Etat : New. pp. 236.

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Paperback. Etat : Brand New. 236 pages. 9.21x6.14x0.79 inches. In Stock.

paperback. Etat : New. Paperback.Pub Date:2022-01-01 Pages:226 Language:Chinese Publisher:Science Press introduces foreign advanced teaching models. combines real and typical cases with theoretical teaching. and leads the development trend of medical education textbooks. It embodies the spirit and research achievements of contemporary education. teaching and curriculum reform. emphasizes the connection between disciplines. and strengthens the combination of theory and practice. It meets the needs of the Ministry of.…

Taschenbuch. Etat : Neu. Computational Intelligence in Computer Aided Medical Diagnosis | Cognitive clinical decision-making with Neuro-Fuzzy-Genetic systems, Weight initialization and Advanced image processing techniques | Latha Parthiban | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783843371445 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

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Hardcover. Etat : Brand New. 1st edition. 218 pages. 9.25x6.25x0.75 inches. In Stock.

Etat : New. 2025. 1st Edition. hardcover. . . . . .

Etat : New. 'Medical Image Processing' deals with the application of intuitionistic fuzzy and Type II fuzzy set theories for medical image analysis. Designed for graduate and doctorate students, it provides a brief introduction to advanced fuzzy set theory. Num Pages: 236 pages, 182 black & white illustrations, 1 black & white tables. BIC Classification: MQW; TJFM; UYT. Category: (G) General (US: Trade). Dimension: 244 x 164 x 18. Weight in Grams: 474. . 2015. 1st Edition. Hardcover. . . . .…

Buch. Etat : Neu. Neuware - Medical image analysis using advanced fuzzy set theoretic techniques is an exciting and dynamic branch of image processing. Since the introduction of fuzzy set theory, there has been an explosion of interest in advanced fuzzy set theories-such as intuitionistic fuzzy and Type II fuzzy set-that represent uncertainty in a better way.Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques deals with the application of intuitionistic fuzzy and Type II fuzzy set theories for medical image analysis. Designed for graduate and doctorate students, this higher-level text: - Provides a brief introduction to advanced fuzzy set theory, fuzzy/intuitionistic fuzzy aggregation operators, and distance/similarity measures - Covers medical image enhancement using advanced fuzzy sets, including MATLAB®-based examples to increase contrast of the images - Describes intuitionistic fuzzy and Type II fuzzy thresholding techniques that separate different regions/leukocyte types/abnormal lesions - Demonstrates the clustering of unwanted lesions/regions even in the presence of noise by applying intuitionistic fuzzy clustering - Highlights the edges of poorly illuminated images and uses intuitionistic fuzzy edge detection to find the edges of different regions - Defines fuzzy mathematical morphology and explores its application using the Lukasiewicz operator, t-norms, and t-conorms Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques is useful not only for students, but also for teachers, engineers, scientists, and those interested in the field of medical image analysis. A basic knowledge of fuzzy set is required, along with a solid understanding of mathematics and image processing.…

Hardcover. Etat : Brand New. 1st edition. 218 pages. 9.25x6.25x0.75 inches. In Stock.

Etat : New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Etat : New. 'Medical Image Processing' deals with the application of intuitionistic fuzzy and Type II fuzzy set theories for medical image analysis. Designed for graduate and doctorate students, it provides a brief introduction to advanced fuzzy set theory. Num Pages: 236 pages, 182 black & white illustrations, 1 black & white tables. BIC Classification: MQW; TJFM; UYT. Category: (G) General (US: Trade). Dimension: 244 x 164 x 18. Weight in Grams: 474. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a comprehensive treatment of methodologies underlying fuzzy logic, genetic algorithm, artificial neural networks and neuro-fuzzy hybrid for solving medical diagnostic problems like cancer, skin disease etc. Expert systems have been built to perform clinical decision-making functions, but the knowledge rules extracted from human experts generally have uncertain and ambiguous characteristics. To handle uncertainties in symptoms, descriptions and data, fuzzy logic is used with neural networks. Artificial neural networks provide aspects such as learning, adaptation and generalization that aid fuzzy logic inference under cognitive uncertainty. The neuro-fuzzy inference engine uses a weighed average of the premise and consequent parameters with the fuzzy rule serving as node and fuzzy sets representing the weight of the nodes. The image from which feature is to be extracted must be preprocessed so that significant features are not disturbed and then neuro-fuzzy-genetic hybrid can be used for making decisions. This monograph will appeal to students, researchers and R&D professionals who need the state-of-art introduction into this challenging and exciting young field. …