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Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer - Couverture souple
- ÉditeurMorgan & Claypool Publishers
- Date d'édition2017
- ISBN 10 1681731568
- ISBN 13 9781681731568
- ReliureBroché
- Nombre de pages186
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Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer (Synthesis Lectures on Biomedical Engineering)
Edité par
Morgan & Claypool Publishers, 2017
ISBN 10 : 1681731568
ISBN 13 : 9781681731568
Ancien ou d'occasion
Couverture souple
Vendeur : suffolkbooks, Center moriches, NY, Etats-Unis
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Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer (Synthesis Lectures on Biomedical Engineering)
Edité par
Morgan & Claypool Publishers, 2017
ISBN 10 : 1681731568
ISBN 13 : 9781681731568
Neuf
Soft cover
Vendeur : BOOKWEST, Phoenix, AZ, Etats-Unis
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Soft cover. Etat : New. US SELLER SHIPS FAST FROM USA. N° de réf. du vendeur DOM-ORD1-SFK-1681731568-PB-1P2-B10
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Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer (Synthesis Lectures on Biomedical Engineering)
Edité par
Morgan & Claypool Publishers, 2017
ISBN 10 : 1681731568
ISBN 13 : 9781681731568
Neuf
Soft cover
Vendeur : Leopolis, Kraków, Pologne
Évaluation du vendeur 5 sur 5 étoiles
Soft cover. Etat : New. 8vo (23.5 cm), XX, 166 pp. Laminated wrappers. Synopsis: The identification and interpretation of the signs of breast cancer in mammographic images from screening programs can be very difficult due to the subtle and diversified appearance of breast disease. This book presents new image processing and pattern recognition techniques for computer-aided detection and diagnosis of breast cancer in its various forms. The main goals are: (1) the identification of bilateral asymmetry as an early sign of breast disease which is not detectable by other existing approaches; and (2) the detection and classification of masses and regions of architectural distortion, as benign lesions or malignant tumors, in a unified framework that does not require accurate extraction of the contours of the lesions. The innovative aspects of the work include the design and validation of landmarking algorithms, automatic Tabár masking procedures, and various feature descriptors for quantification of similarity and for contour independent classification of mammographic lesions. Characterization of breast tissue patterns is achieved by means of multidirectional Gabor filters. For the classification tasks, pattern recognition strategies, including Fisher linear discriminant analysis, Bayesian classifiers, support vector machines, and neural networks are applied using automatic selection of features and cross-validation techniques. Computer-aided detection of bilateral asymmetry resulted in accuracy up to 0.94, with sensitivity and specificity of 1 and 0.88, respectively. Computer-aided diagnosis of automatically detected lesions provided sensitivity of detection of malignant tumors in the range of [0.70, 0.81] at a range of falsely detected tumors of [0.82, 3.47] per image. The techniques presented in this work are effective in detecting and characterizing various mammographic signs of breast disease. N° de réf. du vendeur 008479
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Image d'archives
Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer (Synthesis Lectures on Biomedical Engineering)
Edité par
Morgan & Claypool Publishers, 2017
ISBN 10 : 1681731568
ISBN 13 : 9781681731568
Ancien ou d'occasion
Paperback
Vendeur : dsmbooks, Liverpool, Royaume-Uni
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Paperback. Etat : Very Good. Very Good. book. N° de réf. du vendeur D8S0-3-M-1681731568-6
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