wan azani mustafa (56 résultats)

Etat : New.

Paperback. Etat : Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.

Etat : New.

Etat : New.

Etat : New. In.

Taschenbuch. Etat : Neu. Neuware -Contrast variables and uneven illumination are considered one of the most challenging tasks in the image processing field. The bad contrast images commonly caused by occlusion, pose, illumination which is highly nonlinear. Thus, the segmentation process will be extremely complex and difficult. In this work, contrast and luminosity correction technique will be developed based on statistical formulation. The background pixels will be used in order to estimate the normalize background using the mean and standard deviation. This experimented was tested with a few badly illuminated images and document images which involve illumination and contrast problem. The result will be evaluated and analysis properly. The main impact of this study is to eliminate the illumination and normalize the contrast variation. In conclusions, the implementation of the proposed method produces an effective and efficient result for background correction.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch.

Taschenbuch. Etat : Neu. Image Enhancement Based on Indirect Techniques | Wan Azani Mustafa (u. a.) | Taschenbuch | 60 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330064058 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Hardcover. Etat : new. Hardcover. The second edition of the Special Issue "Medical Data Processing and Analysis" highlights groundbreaking advancements in leveraging AI, ML, and emerging technologies for healthcare. Studies showcase innovative methods for enhancing diagnostic accuracy, such as explainable AI for autism detection, Pap smear analysis for cervical cancer, and retinal image segmentation for ocular conditions. Novel frameworks for medical image retrieval, disease detection using edge computing, and despeckling methods improve imaging precision and reliability. Hybrid models integrating blockchain, the IoT, and big data are proposed for monitoring infectious diseases, while assessments of interactive visualization tools such as BoldBI enhance trustworthiness in healthcare analytics. These contributions demonstrate how data-driven technologies can revolutionize early diagnosis, personalized treatment, and global health strategies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Etat : New.

Hardcover. Etat : new. Hardcover. Medical data typically include physiological signals, diagnostic images, and treatment histories, offering essential insights into patient conditions and outcomes. Computer-aided diagnosis (CAD) systems-used for detection, segmentation, and classification-are now key components of clinical workflows. These systems apply image processing techniques to ensure accurate analysis across CT, MRI, X-ray, and ultrasound scans. Artificial intelligence (AI), especially machine learning and deep learning, has further advanced CAD by enabling automated, accurate disease detection. Yet, the success of such models depends on large, annotated datasets and expertise in preprocessing, modeling, and validation. AI-driven CAD systems have shown strong potential in diverse clinical settings. Future work should prioritize multi-center data sharing, federated learning, few-shot learning, and explainable AI to enhance reliability and adaptability. Integrating AI with technologies like the Internet of Medical Things (IoMT) opens doors to real-time, scalable diagnostics. With continued innovation and rigorous validation, AI is set to become an essential part of clinical decision-making. This volume presents cutting-edge research and strategies to address current gaps, aiming to improve patient outcomes and advance global healthcare systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Etat : new. Hardcover. Medical data typically include physiological signals, diagnostic images, and treatment histories, offering essential insights into patient conditions and outcomes. Computer-aided diagnosis (CAD) systems-used for detection, segmentation, and classification-are now key components of clinical workflows. These systems apply image processing techniques to ensure accurate analysis across CT, MRI, X-ray, and ultrasound scans. Artificial intelligence (AI), especially machine learning and deep learning, has further advanced CAD by enabling automated, accurate disease detection. Yet, the success of such models depends on large, annotated datasets and expertise in preprocessing, modeling, and validation. AI-driven CAD systems have shown strong potential in diverse clinical settings. Future work should prioritize multi-center data sharing, federated learning, few-shot learning, and explainable AI to enhance reliability and adaptability. Integrating AI with technologies like the Internet of Medical Things (IoMT) opens doors to real-time, scalable diagnostics. With continued innovation and rigorous validation, AI is set to become an essential part of clinical decision-making. This volume presents cutting-edge research and strategies to address current gaps, aiming to improve patient outcomes and advance global healthcare systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Etat : new. Hardcover. The second edition of the Special Issue "Medical Data Processing and Analysis" highlights groundbreaking advancements in leveraging AI, ML, and emerging technologies for healthcare. Studies showcase innovative methods for enhancing diagnostic accuracy, such as explainable AI for autism detection, Pap smear analysis for cervical cancer, and retinal image segmentation for ocular conditions. Novel frameworks for medical image retrieval, disease detection using edge computing, and despeckling methods improve imaging precision and reliability. Hybrid models integrating blockchain, the IoT, and big data are proposed for monitoring infectious diseases, while assessments of interactive visualization tools such as BoldBI enhance trustworthiness in healthcare analytics. These contributions demonstrate how data-driven technologies can revolutionize early diagnosis, personalized treatment, and global health strategies. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Etat : New.

Etat : New.

Taschenbuch. Etat : Neu. Mejora de imágenes mediante técnicas indirectas | Wan Azani Mustafa (u. a.) | Taschenbuch | Spanisch | 2024 | Ediciones Nuestro Conocimiento | EAN 9786207094653 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Etat : New.

Taschenbuch. Etat : Neu. Amélioration de l'image basée sur des techniques indirectes | Wan Azani Mustafa (u. a.) | Taschenbuch | Französisch | 2024 | Editions Notre Savoir | EAN 9786207094691 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Etat : New.

Etat : New.

Taschenbuch. Etat : Neu. Neuware -Kontrastvariablen und ungleichmäßige Beleuchtung gelten als eine der schwierigsten Aufgaben im Bereich der Bildverarbeitung. Bilder mit schlechtem Kontrast werden in der Regel durch Okklusion, Pose und Beleuchtung verursacht, die in hohem Maße nichtlinear sind. Dadurch wird der Segmentierungsprozess extrem komplex und schwierig. In dieser Arbeit wird eine Technik zur Kontrast- und Helligkeitskorrektur entwickelt, die auf einer statistischen Formulierung basiert. Die Hintergrundpixel werden verwendet, um den Hintergrund mit Hilfe des Mittelwerts und der Standardabweichung zu normalisieren. Dieses Experiment wurde mit einigen schlecht beleuchteten Bildern und Dokumentenbildern getestet, die Beleuchtungs- und Kontrastprobleme aufweisen. Das Ergebnis wird ausgewertet und analysiert. Die Hauptwirkung dieser Studie besteht darin, die Beleuchtungsprobleme zu beseitigen und die Kontrastschwankungen zu normalisieren. Zusammenfassend lässt sich sagen, dass die Implementierung der vorgeschlagenen Methode ein effektives und effizientes Ergebnis für die Hintergrundkorrektur liefert.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Deutsch.

Taschenbuch. Etat : Neu. Miglioramento dell'immagine basato su tecniche indirette | Wan Azani Mustafa (u. a.) | Taschenbuch | Italienisch | 2024 | Edizioni Sapienza | EAN 9786207094660 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Etat : Neu. Melhoria de imagem baseada em técnicas indirectas | Wan Azani Mustafa (u. a.) | Taschenbuch | Portugiesisch | 2024 | Edições Nosso Conhecimento | EAN 9786207094677 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Etat : Neu. Bildverbesserung auf der Grundlage indirekter Techniken | Wan Azani Mustafa (u. a.) | Taschenbuch | 52 S. | Deutsch | 2024 | Verlag Unser Wissen | EAN 9786207094646 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Contrast variables and uneven illumination are considered one of the most challenging tasks in the image processing field. The bad contrast images commonly caused by occlusion, pose, illumination which is highly nonlinear. Thus, the segmentation process will be extremely complex and difficult. In this work, contrast and luminosity correction technique will be developed based on statistical formulation. The background pixels will be used in order to estimate the normalize background using the mean and standard deviation. This experimented was tested with a few badly illuminated images and document images which involve illumination and contrast problem. The result will be evaluated and analysis properly. The main impact of this study is to eliminate the illumination and normalize the contrast variation. In conclusions, the implementation of the proposed method produces an effective and efficient result for background correction. 60 pp. Englisch.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Spanisch.

HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mustafa Wan AzaniDegree in Biomedical Electronic Engineering (2013) and PhD in Mechatronic Engineering (2017), Fast Track Program at University Malaysia Perlis, Malaysia. Registered on Board Engineer Malaysia (BEM) 2014.Published mor.