| 書(shū)目名稱 | Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer | | 編輯 | Paola Casti,Arianna Mencattini,Rangaraj M. Rangayy | | 視頻video | http://file.papertrans.cn/235/234575/234575.mp4 | | 叢書(shū)名稱 | Synthesis Lectures on Biomedical Engineering | | 圖書(shū)封面 |  | | 描述 | 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 discrimin | | 出版日期 | Book 2017 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-01664-6 | | isbn_softcover | 978-3-031-00536-7 | | isbn_ebook | 978-3-031-01664-6Series ISSN 1930-0328 Series E-ISSN 1930-0336 | | issn_series | 1930-0328 | | copyright | Springer Nature Switzerland AG 2017 |
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