Sinopsis
Master's Thesis from the year 2014 in the subject Medicine - Biomedical Engineering, grade: 76, , course: Image processing, language: English, abstract: Colorectal cancer is the third most commonly diagnosed cancer and the second leading cause of cancer death in men and women. Magnetic resonance imaging (MRI) established itself as the primary method for detection and staging in patients with colorectal cancer. MRI images of Colorectal cancer are used to detect the area and mean values of tumor area and distance from tumor area to other parts. The thesis describes algorithms for preprocessing, clustering and post processing of MRI images. Implemented algorithm for preprocessing using image enhancement techniques, clustering is done using adaptive k-means algorithm and post processing using image processing techniques in MATLAB.
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Reseña del editor
Master's Thesis from the year 2014 in the subject Medicine - Biomedical Engineering, grade: 76, , course: Image processing, language: English, abstract: Colorectal cancer is the third most commonly diagnosed cancer and the second leading cause of cancer death in men and women. Magnetic resonance imaging (MRI) established itself as the primary method for detection and staging in patients with colorectal cancer. MRI images of Colorectal cancer are used to detect the area and mean values of tumor area and distance from tumor area to other parts. The thesis describes algorithms for preprocessing, clustering and post processing of MRI images. Implemented algorithm for preprocessing using image enhancement techniques, clustering is done using adaptive k-means algorithm and post processing using image processing techniques in MATLAB.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Colorectal Cancer MRI Image Segmentation Using Image Processing Techniques
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GRIN Publishing Feb 2015, 2015
ISBN 10: 3656879540
ISBN 13: 9783656879541
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master's Thesis from the year 2014 in the subject Medicine - Biomedical Engineering, grade: 76, , course: Image processing, language: English, abstract: Colorectal cancer is the third most commonly diagnosed cancer and the second leading cause of cancer death in men and women. Magnetic resonance imaging (MRI) established itself as the primary method for detection and staging in patients with colorectal cancer. MRI images of Colorectal cancer are used to detect the area and mean values of tumor area and distance from tumor area to other parts. The thesis describes algorithms for preprocessing, clustering and post processing of MRI images. Implemented algorithm for preprocessing using image enhancement techniques, clustering is done using adaptive k-means algorithm and post processing using image processing techniques in MATLAB. 48 pp. Englisch. Nº de ref. del artículo: 9783656879541
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Colorectal Cancer MRI Image Segmentation Using Image Processing Techniques
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Colorectal Cancer MRI Image Segmentation Using Image Processing Techniques
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GRIN Verlag, GRIN Verlag Feb 2015, 2015
ISBN 10: 3656879540
ISBN 13: 9783656879541
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Master's Thesis from the year 2014 in the subject Medicine - Biomedical Engineering, grade: 76, , course: Image processing, language: English, abstract: Colorectal cancer is the third most commonly diagnosed cancer and the second leading cause of cancer death in men and women. Magnetic resonance imaging (MRI) established itself as the primary method for detection and staging in patients with colorectal cancer. MRI images of Colorectal cancer are used to detect the area and mean values of tumor area and distance from tumor area to other parts. The thesis describes algorithms for preprocessing, clustering and post processing of MRI images. Implemented algorithm for preprocessing using image enhancement techniques, clustering is done using adaptive k-means algorithm and post processing using image processing techniques in MATLAB.Books on Demand GmbH, Überseering 33, 22297 Hamburg 48 pp. Englisch. Nº de ref. del artículo: 9783656879541
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Colorectal Cancer MRI Image Segmentation Using Image Processing Techniques
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master's Thesis from the year 2014 in the subject Medicine - Biomedical Engineering, grade: 76, , course: Image processing, language: English, abstract: Colorectal cancer is the third most commonly diagnosed cancer and the second leading cause of cancer death in men and women. Magnetic resonance imaging (MRI) established itself as the primary method for detection and staging in patients with colorectal cancer. MRI images of Colorectal cancer are used to detect the area and mean values of tumor area and distance from tumor area to other parts. The thesis describes algorithms for preprocessing, clustering and post processing of MRI images. Implemented algorithm for preprocessing using image enhancement techniques, clustering is done using adaptive k-means algorithm and post processing using image processing techniques in MATLAB. Nº de ref. del artículo: 9783656879541
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