Verwandte Artikel zu Segmentation and Classification of Abnormalities in...
Inhaltsangabe
Automatic segmentation of ultrasound images is an important component of many applications domains, especially in the field of medical. Gallstone is a high incidence of gallbladder disease, Segmentation and extraction of gallstone from an ultrasound image is requirement for taking decision regarding treatment. Because of the presence of speckle noise, low contrast and luminous in-homogeneity in ultrasound images the available segmentation algorithms are general techniques. We proposed new method for the segmentation of ultrasonic images of gallstones. Segmentation, classification and level set method as presented. A validation is required for proper identification of gallstone.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
Automatic segmentation of ultrasound images is an important component of many applications domains, especially in the field of medical. Gallstone is a high incidence of gallbladder disease, Segmentation and extraction of gallstone from an ultrasound image is requirement for taking decision regarding treatment. Because of the presence of speckle noise, low contrast and luminous in-homogeneity in ultrasound images the available segmentation algorithms are general techniques. We proposed new method for the segmentation of ultrasonic images of gallstones. Segmentation, classification and level set method as presented. A validation is required for proper identification of gallstone.
Biografía del autor
N. Shanmuga Sundari working as Assistant Professor in Velammal College of Engineering and Technology, Madurai. My area of research are Image Processing, Information Security and Image Mining. This is my first book that is related to Medical Image Processing. I want to dedicate this book to my family.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 35,90
EUR 23,00 für den Versand von Deutschland nach USA
Versandziele, Kosten & DauerSuchergebnisse für Segmentation and Classification of Abnormalities in...
Foto des Verkäufers
Segmentation and Classification of Abnormalities in Gallbladder
Verlag:
LAP Lambert Academic Publishing Feb 2017, 2017
ISBN 10: 3330032553
ISBN 13: 9783330032552
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Automatic segmentation of ultrasound images is an important component of many applications domains, especially in the field of medical. Gallstone is a high incidence of gallbladder disease, Segmentation and extraction of gallstone from an ultrasound image is requirement for taking decision regarding treatment. Because of the presence of speckle noise, low contrast and luminous in-homogeneity in ultrasound images the available segmentation algorithms are general techniques. We proposed new method for the segmentation of ultrasonic images of gallstones. Segmentation, classification and level set method as presented. A validation is required for proper identification of gallstone. 52 pp. Englisch. Bestandsnummer des Verkäufers 9783330032552
Anzahl: 2 verfügbar
Foto des Verkäufers
Segmentation and Classification of Abnormalities in Gallbladder
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032553
ISBN 13: 9783330032552
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sundari N. ShanmugaN. Shanmuga Sundari working as Assistant Professor in Velammal College of Engineering and Technology, Madurai. My area of research are Image Processing, Information Security and Image Mining. This is my first book . Bestandsnummer des Verkäufers 158958438
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Segmentation and Classification of Abnormalities in Gallbladder: Image Processing
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032553
ISBN 13: 9783330032552
Neu
Paperback
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Bestandsnummer des Verkäufers 3330032553
Anzahl: 1 verfügbar
Foto des Verkäufers
Segmentation and Classification of Abnormalities in Gallbladder
Verlag:
LAP Lambert Academic Publishing Feb 2017, 2017
ISBN 10: 3330032553
ISBN 13: 9783330032552
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -Automatic segmentation of ultrasound images is an important component of many applications domains, especially in the field of medical. Gallstone is a high incidence of gallbladder disease, Segmentation and extraction of gallstone from an ultrasound image is requirement for taking decision regarding treatment. Because of the presence of speckle noise, low contrast and luminous in-homogeneity in ultrasound images the available segmentation algorithms are general techniques. We proposed new method for the segmentation of ultrasonic images of gallstones. Segmentation, classification and level set method as presented. A validation is required for proper identification of gallstone.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. Bestandsnummer des Verkäufers 9783330032552
Anzahl: 2 verfügbar
Foto des Verkäufers
Segmentation and Classification of Abnormalities in Gallbladder : Image Processing
Verlag:
LAP Lambert Academic Publishing, 2017
ISBN 10: 3330032553
ISBN 13: 9783330032552
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Automatic segmentation of ultrasound images is an important component of many applications domains, especially in the field of medical. Gallstone is a high incidence of gallbladder disease, Segmentation and extraction of gallstone from an ultrasound image is requirement for taking decision regarding treatment. Because of the presence of speckle noise, low contrast and luminous in-homogeneity in ultrasound images the available segmentation algorithms are general techniques. We proposed new method for the segmentation of ultrasonic images of gallstones. Segmentation, classification and level set method as presented. A validation is required for proper identification of gallstone. Bestandsnummer des Verkäufers 9783330032552
Anzahl: 1 verfügbar