Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer (Record no. 85970)
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fixed length control field | 04436nam a22005415i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-031-01664-6 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730164902.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220601s2017 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783031016646 |
-- | 978-3-031-01664-6 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 620 |
100 1# - AUTHOR NAME | |
Author | Mencattini, Arianna. |
245 10 - TITLE STATEMENT | |
Title | Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2017. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XX, 166 p. |
490 1# - SERIES STATEMENT | |
Series statement | Synthesis Lectures on Biomedical Engineering, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Preface -- Acknowledgments -- Introduction -- Experimental Setup and Databases of Mammograms -- Multidirectional Gabor Filtering -- Landmarking Algorithms -- Computer-aided Detection of Bilateral Asymmetry -- Design of Contour-independent Features for Classification of Masses -- Integrated CADe/CADx of Mammographic Lesions -- Concluding Remarks -- References -- Authors' Biographies. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Casti, Paola. |
700 1# - AUTHOR 2 | |
Author 2 | Salmeri, Marcello. |
700 1# - AUTHOR 2 | |
Author 2 | Rangayyan, Rangaraj M. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-01664-6 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2017. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Biophysics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Biomedical engineering. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Technology and Engineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Biophysics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Biomedical Engineering and Bioengineering. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1930-0336 |
912 ## - | |
-- | ZDB-2-SXSC |
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