Isbn: 9783330653382 - image de-noising approaches for biomedical images (8 Ergebnisse)

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Taschenbuch. Zustand: Neu. Image De-Noising Approaches for Biomedical Images | Tushar Jaware (u. a.) | Taschenbuch | Englisch | 2022 | Scholars' Press | EAN 9783330653382 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the past two decades, medical imaging and diagnostic techniques have gained immense attraction due to the rapid development in computing, internet, data storage and wireless technology. The reflection of these advancements has become evident in the field of medicine and medical sciences which enables the diagnosis and treatment of various diseases in a more fruitful manner. Furthermore, medical imaging is frequently justified in the follow up of a disease which is already diagnosed and treated. Medical images like any other form of imaging techniques are susceptible to noise and artifacts. The major challenge in the process of medical imaging is to obtain an image without loss of any significant information. It is highly probable that the images obtained may be corrupted by noise or artifacts during the process of acquisition and/or further processing stages. Noise can be described as the random change of the original pixel value. Noise reduces the image quality and is especially significant when the objects being imaged are small and have relatively low contrast. Hence, de-noising of medical images is indispensable and has become a mandatory pre-processing stage. 92 pp. Englisch.…

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the past two decades, medical imaging and diagnostic techniques have gained immense attraction due to the rapid development in computing, internet, data storage and wireless technology. The reflection of these advancements has become evident in the field of medicine and medical sciences which enables the diagnosis and treatment of various diseases in a more fruitful manner. Furthermore, medical imaging is frequently justified in the follow up of a disease which is already diagnosed and treated. Medical images like any other form of imaging techniques are susceptible to noise and artifacts. The major challenge in the process of medical imaging is to obtain an image without loss of any significant information. It is highly probable that the images obtained may be corrupted by noise or artifacts during the process of acquisition and/or further processing stages. Noise can be described as the random change of the original pixel value. Noise reduces the image quality and is especially significant when the objects being imaged are small and have relatively low contrast. Hence, de-noising of medical images is indispensable and has become a mandatory pre-processing stage.…

Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Over the past two decades, medical imaging and diagnostic techniques have gained immense attraction due to the rapid development in computing, internet, data storage and wireless technology. The reflection of these advancements has become evident in the fie.…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over the past two decades, medical imaging and diagnostic techniques have gained immense attraction due to the rapid development in computing, internet, data storage and wireless technology. The reflection of these advancements has become evident in the field of medicine and medical sciences which enables the diagnosis and treatment of various diseases in a more fruitful manner. Furthermore, medical imaging is frequently justified in the follow up of a disease which is already diagnosed and treated. Medical images like any other form of imaging techniques are susceptible to noise and artifacts. The major challenge in the process of medical imaging is to obtain an image without loss of any significant information. It is highly probable that the images obtained may be corrupted by noise or artifacts during the process of acquisition and/or further processing stages. Noise can be described as the random change of the original pixel value. Noise reduces the image quality and is especially significant when the objects being imaged are small and have relatively low contrast. Hence, de-noising of medical images is indispensable and has become a mandatory pre-processing stage.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.…