Computer Assisted Grading of Follicular & Prostate Lymphoma: A Classification Based on Quality Parameters - Softcover
Synopsis
This book does in lighting several approaches for color texture and demarcation of biased cell nuclei, also suggests many quantitative parameters, and applied them for computer-aided prognosis of CaP & FL images. Gaussian wavelet orientation transformation of color images prior to Co-occurrence calculation for H&E-stained histopathological images considerably improved the classification performance, which has 97% sensitivity in identifying according to pathologist for FL. This approach set a benchmark in histopathology by isolating all the follicles in the image, we can use the entire tissue section for diagnosis and grading of the diseased. Moreover our classification approach gives additional input to pathologist so that patients should receive appropriate therapy as soon as possible to increase their chance of re-mission and to prolong their lives. It should be noted that the automated computer assisted grading system should never be considered a replacement for pathologist. Instead, it should only be used as assistance to the decision mechanism. In case of a disagreement between the computerized system and the doctors rating, the final decision is that of the oncologist
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About the Author
Pranshu Saxena, received his B. E. (2010) & M. Tech.(2013) India, working as Assistant Professor in IPEC, India. His research interests include Medical Image Segmentation, Texture Analysis, Pattern Recognition and Intelligent System, served as reviewer, Editorial member, invited speaker of number of various international conference & journals.
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Computer Assisted Grading of Follicular & Prostate Lymphoma
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LAP LAMBERT Academic Publishing Nov 2014, 2014
ISBN 10: 3659630926
ISBN 13: 9783659630927
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book does in lighting several approaches for color texture and demarcation of biased cell nuclei, also suggests many quantitative parameters, and applied them for computer-aided prognosis of CaP & FL images. Gaussian wavelet orientation transformation of color images prior to Co-occurrence calculation for H&E-stained histopathological images considerably improved the classification performance, which has 97% sensitivity in identifying according to pathologist for FL. This approach set a benchmark in histopathology by isolating all the follicles in the image, we can use the entire tissue section for diagnosis and grading of the diseased. Moreover our classification approach gives additional input to pathologist so that patients should receive appropriate therapy as soon as possible to increase their chance of re-mission and to prolong their lives. It should be noted that the automated computer assisted grading system should never be considered a replacement for pathologist. Instead, it should only be used as assistance to the decision mechanism. In case of a disagreement between the computerized system and the doctors rating, the final decision is that of the oncologist 76 pp. Englisch. Seller Inventory # 9783659630927
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Computer Assisted Grading of Follicular & Prostate Lymphoma
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659630926
ISBN 13: 9783659630927
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Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Saxena PranshuPranshu Saxena, received his B. E. (2010) & M. Tech.(2013) India, working as Assistant Professor in IPEC, India. His research interests include Medical Image Segmentation, Texture Analysis, Pattern Recognition and Intel. Seller Inventory # 5169677
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Computer Assisted Grading of Follicular & Prostate Lymphoma
Published by
LAP LAMBERT Academic Publishing Nov 2014, 2014
ISBN 10: 3659630926
ISBN 13: 9783659630927
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book does in lighting several approaches for color texture and demarcation of biased cell nuclei, also suggests many quantitative parameters, and applied them for computer-aided prognosis of CaP & FL images. Gaussian wavelet orientation transformation of color images prior to Co-occurrence calculation for H&E-stained histopathological images considerably improved the classification performance, which has 97% sensitivity in identifying according to pathologist for FL. This approach set a benchmark in histopathology by isolating all the follicles in the image, we can use the entire tissue section for diagnosis and grading of the diseased. Moreover our classification approach gives additional input to pathologist so that patients should receive appropriate therapy as soon as possible to increase their chance of re-mission and to prolong their lives. It should be noted that the automated computer assisted grading system should never be considered a replacement for pathologist. Instead, it should only be used as assistance to the decision mechanism. In case of a disagreement between the computerized system and the doctors rating, the final decision is that of the oncologistVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Seller Inventory # 9783659630927
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Computer Assisted Grading of Follicular & Prostate Lymphoma : A Classification Based on Quality Parameters
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659630926
ISBN 13: 9783659630927
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book does in lighting several approaches for color texture and demarcation of biased cell nuclei, also suggests many quantitative parameters, and applied them for computer-aided prognosis of CaP & FL images. Gaussian wavelet orientation transformation of color images prior to Co-occurrence calculation for H&E-stained histopathological images considerably improved the classification performance, which has 97% sensitivity in identifying according to pathologist for FL. This approach set a benchmark in histopathology by isolating all the follicles in the image, we can use the entire tissue section for diagnosis and grading of the diseased. Moreover our classification approach gives additional input to pathologist so that patients should receive appropriate therapy as soon as possible to increase their chance of re-mission and to prolong their lives. It should be noted that the automated computer assisted grading system should never be considered a replacement for pathologist. Instead, it should only be used as assistance to the decision mechanism. In case of a disagreement between the computerized system and the doctors rating, the final decision is that of the oncologist. Seller Inventory # 9783659630927
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Computer Assisted Grading of Follicular & Prostate Lymphoma | A Classification Based on Quality Parameters
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659630926
ISBN 13: 9783659630927
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Computer Assisted Grading of Follicular & Prostate Lymphoma | A Classification Based on Quality Parameters | Pranshu Saxena | Taschenbuch | 76 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659630927 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 104993481