Artículos relacionados a Intelligent Breast Cancer Identification System
Sinopsis
This book aims to develop an intelligent breast cancer identification (ICBIS) system based on image processing techniques and neural network classifier. Recently, many researchers have developed image recognition systems for classifying breast cancer tumors using different image processing and classification techniques. The challenge is the extraction of the real features that distinguish the benign and malignant tumor. The classifications of breast cancer images have been performed using the shape and texture characteristics of the images. The asymmetry, roundness, intensity levels and more are the exact shape and texture features that distinguish the two types of breast tumors. Image processing techniques are used in order to detect tumor and extract the region of interest from the mammogram. The following data processing operations have been done for detection of images: thresholding, filtering and adjustments, canny edge detection, and some morphological operations. Shape and texture features are then extracted using GLCM (Gray-Level Co-Occurrence Matrix) algorithm in order to accurately classify the mammograms into normal, benign, and malignant tumors.
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Reseña del editor
This book aims to develop an intelligent breast cancer identification (ICBIS) system based on image processing techniques and neural network classifier. Recently, many researchers have developed image recognition systems for classifying breast cancer tumors using different image processing and classification techniques. The challenge is the extraction of the real features that distinguish the benign and malignant tumor. The classifications of breast cancer images have been performed using the shape and texture characteristics of the images. The asymmetry, roundness, intensity levels and more are the exact shape and texture features that distinguish the two types of breast tumors. Image processing techniques are used in order to detect tumor and extract the region of interest from the mammogram. The following data processing operations have been done for detection of images: thresholding, filtering and adjustments, canny edge detection, and some morphological operations. Shape and texture features are then extracted using GLCM (Gray-Level Co-Occurrence Matrix) algorithm in order to accurately classify the mammograms into normal, benign, and malignant tumors.
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Intelligent Breast Cancer Identification System
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LAP Lambert Academic Publishing Apr 2015, 2015
ISBN 10: 3659689769
ISBN 13: 9783659689765
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Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book aims to develop an intelligent breast cancer identification (ICBIS) system based on image processing techniques and neural network classifier. Recently, many researchers have developed image recognition systems for classifying breast cancer tumors using different image processing and classification techniques. The challenge is the extraction of the real features that distinguish the benign and malignant tumor. The classifications of breast cancer images have been performed using the shape and texture characteristics of the images. The asymmetry, roundness, intensity levels and more are the exact shape and texture features that distinguish the two types of breast tumors. Image processing techniques are used in order to detect tumor and extract the region of interest from the mammogram. The following data processing operations have been done for detection of images: thresholding, filtering and adjustments, canny edge detection, and some morphological operations. Shape and texture features are then extracted using GLCM (Gray-Level Co-Occurrence Matrix) algorithm in order to accurately classify the mammograms into normal, benign, and malignant tumors. 96 pp. Englisch. Nº de ref. del artículo: 9783659689765
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Intelligent Breast Cancer Identification System
Publicado por
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659689769
ISBN 13: 9783659689765
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book aims to develop an intelligent breast cancer identification (ICBIS) system based on image processing techniques and neural network classifier. Recently, many researchers have developed image recognition systems for classifying breast cancer tumors using different image processing and classification techniques. The challenge is the extraction of the real features that distinguish the benign and malignant tumor. The classifications of breast cancer images have been performed using the shape and texture characteristics of the images. The asymmetry, roundness, intensity levels and more are the exact shape and texture features that distinguish the two types of breast tumors. Image processing techniques are used in order to detect tumor and extract the region of interest from the mammogram. The following data processing operations have been done for detection of images: thresholding, filtering and adjustments, canny edge detection, and some morphological operations. Shape and texture features are then extracted using GLCM (Gray-Level Co-Occurrence Matrix) algorithm in order to accurately classify the mammograms into normal, benign, and malignant tumors. Nº de ref. del artículo: 9783659689765
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Intelligent Breast Cancer Identification System
Publicado por
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659689769
ISBN 13: 9783659689765
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Helwan AbdulkaderMr. Abdulkader Helwan was born in Tripoli/Lebanon. He studied in Lebanon at Al Manar University of Tripoli where he successfully completed his degree:a B.E. in Biomedical engineering. As a scholar he continued for an. Nº de ref. del artículo: 24561183
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Intelligent Breast Cancer Identification System
Publicado por
LAP LAMBERT Academic Publishing Apr 2015, 2015
ISBN 10: 3659689769
ISBN 13: 9783659689765
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book aims to develop an intelligent breast cancer identification (ICBIS) system based on image processing techniques and neural network classifier. Recently, many researchers have developed image recognition systems for classifying breast cancer tumors using different image processing and classification techniques. The challenge is the extraction of the real features that distinguish the benign and malignant tumor. The classifications of breast cancer images have been performed using the shape and texture characteristics of the images. The asymmetry, roundness, intensity levels and more are the exact shape and texture features that distinguish the two types of breast tumors. Image processing techniques are used in order to detect tumor and extract the region of interest from the mammogram. The following data processing operations have been done for detection of images: thresholding, filtering and adjustments, canny edge detection, and some morphological operations. Shape and texture features are then extracted using GLCM (Gray-Level Co-Occurrence Matrix) algorithm in order to accurately classify the mammograms into normal, benign, and malignant tumors.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch. Nº de ref. del artículo: 9783659689765
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