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Computer-Aided Detection and Classification of Mass from BUS Images: Theory and Experiments Second Edition - Softcover
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Computer-Aided Detection and Classification of Mass from BUS Images
Published by
LAP LAMBERT Academic Publishing Nov 2025, 2025
ISBN 10: 6209187145
ISBN 13: 9786209187148
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 136 pp. Englisch. Seller Inventory # 9786209187148
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Computer-Aided Detection and Classification of Mass from BUS Images : Theory and Experiments Second Edition
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6209187145
ISBN 13: 9786209187148
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
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 # 9786209187148
Seller Image
Computer-Aided Detection and Classification of Mass from BUS Images
Published by
LAP LAMBERT Academic Publishing Nov 2025, 2025
ISBN 10: 6209187145
ISBN 13: 9786209187148
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
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 # 9786209187148