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Segmentation Classification Abnormalities Gallbladder by Sundari Shanmuga (9 results)
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Segmentation and Classification of Abnormalities in Gallbladder: Image Processing
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
Condition: New.
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Segmentation and Classification of Abnormalities in Gallbladder: Image Processing
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
Paperback. Condition: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.
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Segmentation and Classification of Abnormalities in Gallbladder | Image Processing
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
Taschenbuch. Condition: Neu. Segmentation and Classification of Abnormalities in Gallbladder | Image Processing | N. Shanmuga Sundari (u. a.) | Taschenbuch | 52 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330032552 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Segmentation and Classification of Abnormalities in Gallbladder
Language: English
Published by LAP Lambert Academic Publishing Feb 2017, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Segmentation and Classification of Abnormalities in Gallbladder: Image Processing
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
Condition: New. Print on Demand.
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Segmentation and Classification of Abnormalities in Gallbladder: Image Processing
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
Condition: New. PRINT ON DEMAND.
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Segmentation and Classification of Abnormalities in Gallbladder
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
Condition: 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 .
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Segmentation and Classification of Abnormalities in Gallbladder
Language: English
Published by LAP LAMBERT Academic Publishing Feb 2017, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.
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Segmentation and Classification of Abnormalities in Gallbladder : Image Processing
Language: English
Published by LAP Lambert Academic Publishing, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
Taschenbuch. Condition: 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.
