Benign/Malignant Tissues Classification: Methods,Concepts and System for Tissue Recognition - Tapa blanda

Zeki Mohammed, Esraa; Edwar George, Loay

 
9783659328152: Benign/Malignant Tissues Classification: Methods,Concepts and System for Tissue Recognition
Tapa blanda
ISBN 10: 3659328154 ISBN 13: 9783659328152
Editorial: LAP LAMBERT Academic Publishing, 2013

Sinopsis

Breast cancer has become a major health problem over the last 50 years; it is a leading cause of cancer-related death in women population today. However, if breast abnormalities are detected and diagnoses are made at early stages, studies show that the chances of survival can be greatly improved. In this work, multi-scale fractal dimension is used to derive a set of textural features in order to perform texture analysis on breast tissues samples. The box counting method was used to estimate the multi fractal dimensions. The feed forward neural network is used to classify different types of breast tissues according to the extracted fractal dimension vectors.

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Reseña del editor

Breast cancer has become a major health problem over the last 50 years; it is a leading cause of cancer-related death in women population today. However, if breast abnormalities are detected and diagnoses are made at early stages, studies show that the chances of survival can be greatly improved. In this work, multi-scale fractal dimension is used to derive a set of textural features in order to perform texture analysis on breast tissues samples. The box counting method was used to estimate the multi fractal dimensions. The feed forward neural network is used to classify different types of breast tissues according to the extracted fractal dimension vectors.

Biografía del autor

B.Sc. in Computer Science, University of Mosul, Iraq, M.Sc. and Ph.D. in Computer Science, University of Sulaimani, Iraq. Research interests:Artificial Neural networks, CBIR, Database, Fractals, FPGA, Image Processing, Wireless Communication.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2013
Idioma
Inglés
ISBN 10 
3659328154
ISBN 13 
9783659328152
Encuadernación
Tapa blanda
Número de páginas
112
Contacto del fabricante
no disponible
Persona responsable
no disponible