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BenignMalignant Tissues Classification

Esraa Zeki Mohammed

ISBN 10: 3659328154 / ISBN 13: 9783659328152
Published by LAP Lambert Academic Publishing
New Condition: New Soft cover
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About this Item

Paperback. 112 pages. Dimensions: 8.7in. x 5.9in. x 0.3in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783659328152

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Bibliographic Details

Title: BenignMalignant Tissues Classification

Publisher: LAP Lambert Academic Publishing

Binding: Paperback

Book Condition:New

Book Type: Paperback

About this title

Synopsis:

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.

About the Author:

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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