| 书目名称 | Computer-Aided Detection of Architectural Distortion in Prior Mammograms of Interval Cancer | | 编辑 | Shantanu Banik,Rangaraj M. Rangayyan,J. E. Desaute | | 视频video | | | 丛书名称 | Synthesis Lectures on Biomedical Engineering | | 图书封面 |  | | 描述 | Architectural distortion is an important and early sign of breast cancer, but because of its subtlety, it is a common cause of false-negative findings on screening mammograms. Screening mammograms obtained prior to the detection of cancer could contain subtle signs of early stages of breast cancer, in particular, architectural distortion. This book presents image processing and pattern recognition techniques to detect architectural distortion in prior mammograms of interval-cancer cases. The methods are based upon Gabor filters, phase portrait analysis, procedures for the analysis of the angular spread of power, fractal analysis, Laws‘ texture energy measures derived from geometrically transformed regions of interest (ROIs), and Haralick‘s texture features. With Gabor filters and phase-portrait analysis, 4,224 ROIs were automatically obtained from 106 prior mammograms of 56 interval-cancer cases, including 301 true-positive ROIs related to architectural distortion, and from 52 mammograms of 13 normal cases. For each ROI, the fractal dimension, the entropy of the angular spread of power, 10 Laws‘ texture energy measures, and Haralick‘s 14 texture features were computed. The areas un | | 出版日期 | Book 2013 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-01656-1 | | isbn_softcover | 978-3-031-00528-2 | | isbn_ebook | 978-3-031-01656-1Series ISSN 1930-0328 Series E-ISSN 1930-0336 | | issn_series | 1930-0328 | | copyright | Springer Nature Switzerland AG 2013 |
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发表于 2025-3-21 20:05:17
