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Computer-Aided Detection and Classification of Mass from BUS Images: Theory and Experiments - Softcover
Synopsis
Computer-Aided Detection (CAD) of breast cancer helps the radiologists in early diagnosis of breast cancer with good accuracy in a very cost-effective way. There is a growing interest for breast ultrasound (BUS) diagnosis owing to its efficiency and portability. However, the presence of speckle noise, low contrast and blurred boundary of mass in a BUS image make it challenging to determine the mass. In the current work, a CAD system is proposed for the diagnosis of breast cancer from BUS images. The methodology includes the phases of preprocessing, segmentation, feature extraction and classification of BUS images. The preprocessing algorithm used in this work efficiently removes noise and enhances the contrast of BUS images. Segmenting an accurate region of interest in turn results in efficient feature extraction and classification of BUS images into benign and malignant ones. The proposed CAD system has been tested on Matlab platform with several images to obtain reasonably good accuracy, specificity, and sensitivity. Moreover, hardware/software co-simulation of preprocessing and active contour based segmentation algorithm on Xilinx Zynq has been performed using Vivado HLS.
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About the Author
Poulami Raha completed her Master of Science (by Research) from the Department of Electronics and Electrical Communication Engineering (E&ECE), Indian Institute of Technology (IIT) Kharagpur in 2017and B.Tech in ECE from SIEM, Siliguri under West Bengal University of Technology in 2013. Her research areas are Image Processing and VLSI design.
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Computer-Aided Detection and Classification of Mass from BUS Images
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LAP LAMBERT Academic Publishing Feb 2018, 2018
ISBN 10: 613734214X
ISBN 13: 9786137342145
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computer-Aided Detection (CAD) of breast cancer helps the radiologists in early diagnosis of breast cancer with good accuracy in a very cost-effective way. There is a growing interest for breast ultrasound (BUS) diagnosis owing to its efficiency and portability. However, the presence of speckle noise, low contrast and blurred boundary of mass in a BUS image make it challenging to determine the mass. In the current work, a CAD system is proposed for the diagnosis of breast cancer from BUS images. The methodology includes the phases of preprocessing, segmentation, feature extraction and classification of BUS images. The preprocessing algorithm used in this work efficiently removes noise and enhances the contrast of BUS images. Segmenting an accurate region of interest in turn results in efficient feature extraction and classification of BUS images into benign and malignant ones. The proposed CAD system has been tested on Matlab platform with several images to obtain reasonably good accuracy, specificity, and sensitivity. Moreover, hardware/software co-simulation of preprocessing and active contour based segmentation algorithm on Xilinx Zynq has been performed using Vivado HLS. 136 pp. Englisch. Seller Inventory # 9786137342145
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Computer-Aided Detection and Classification of Mass from BUS Images : Theory and Experiments
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 613734214X
ISBN 13: 9786137342145
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computer-Aided Detection (CAD) of breast cancer helps the radiologists in early diagnosis of breast cancer with good accuracy in a very cost-effective way. There is a growing interest for breast ultrasound (BUS) diagnosis owing to its efficiency and portability. However, the presence of speckle noise, low contrast and blurred boundary of mass in a BUS image make it challenging to determine the mass. In the current work, a CAD system is proposed for the diagnosis of breast cancer from BUS images. The methodology includes the phases of preprocessing, segmentation, feature extraction and classification of BUS images. The preprocessing algorithm used in this work efficiently removes noise and enhances the contrast of BUS images. Segmenting an accurate region of interest in turn results in efficient feature extraction and classification of BUS images into benign and malignant ones. The proposed CAD system has been tested on Matlab platform with several images to obtain reasonably good accuracy, specificity, and sensitivity. Moreover, hardware/software co-simulation of preprocessing and active contour based segmentation algorithm on Xilinx Zynq has been performed using Vivado HLS. Seller Inventory # 9786137342145
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Computer-Aided Detection and Classification of Mass from BUS Images
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 613734214X
ISBN 13: 9786137342145
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Raha PoulamiPoulami Raha completed her Master of Science (by Research) from the Department of Electronics and Electrical Communication Engineering (E&ECE), Indian Institute of Technology (IIT) Kharagpur in 2017and B.Tech in ECE from . Seller Inventory # 385845163
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Computer-Aided Detection and Classification of Mass from BUS Images: Theory and Experiments
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 613734214X
ISBN 13: 9786137342145
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Paperback. Condition: Brand New. 136 pages. 8.66x5.91x0.31 inches. In Stock. Seller Inventory # zk613734214X
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Computer-Aided Detection and Classification of Mass from BUS Images
Published by
LAP LAMBERT Academic Publishing Feb 2018, 2018
ISBN 10: 613734214X
ISBN 13: 9786137342145
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Taschenbuch
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Computer-Aided Detection (CAD) of breast cancer helps the radiologists in early diagnosis of breast cancer with good accuracy in a very cost-effective way. There is a growing interest for breast ultrasound (BUS) diagnosis owing to its efficiency and portability. However, the presence of speckle noise, low contrast and blurred boundary of mass in a BUS image make it challenging to determine the mass. In the current work, a CAD system is proposed for the diagnosis of breast cancer from BUS images. The methodology includes the phases of preprocessing, segmentation, feature extraction and classification of BUS images. The preprocessing algorithm used in this work efficiently removes noise and enhances the contrast of BUS images. Segmenting an accurate region of interest in turn results in efficient feature extraction and classification of BUS images into benign and malignant ones. The proposed CAD system has been tested on Matlab platform with several images to obtain reasonably good accuracy, specificity, and sensitivity. Moreover, hardware/software co-simulation of preprocessing and active contour based segmentation algorithm on Xilinx Zynq has been performed using Vivado HLS.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch. Seller Inventory # 9786137342145
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Computer-Aided Detection and Classification of Mass from BUS Images | Theory and Experiments
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ISBN 13: 9786137342145
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Taschenbuch. Condition: Neu. Computer-Aided Detection and Classification of Mass from BUS Images | Theory and Experiments | Poulami Raha (u. a.) | Taschenbuch | 136 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786137342145 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 111671699
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