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Titlebook: Modeling and Analysis of Shape with Applications in Computer-aided Diagnosis of Breast Cancer; Denise Guliato,Rangaraj M. Rangayyan Book 2

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發(fā)表于 2025-3-21 18:18:42 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Modeling and Analysis of Shape with Applications in Computer-aided Diagnosis of Breast Cancer
編輯Denise Guliato,Rangaraj M. Rangayyan
視頻videohttp://file.papertrans.cn/637/636085/636085.mp4
叢書名稱Synthesis Lectures on Biomedical Engineering
圖書封面Titlebook: Modeling and Analysis of Shape with Applications in Computer-aided Diagnosis of Breast Cancer;  Denise Guliato,Rangaraj M. Rangayyan Book 2
描述Malignant tumors due to breast cancer and masses due to benign disease appear in mammograms with different shape characteristics: the former usually have rough, spiculated, or microlobulated contours, whereas the latter commonly have smooth, round, oval, or macrolobulated contours. Features that characterize shape roughness and complexity can assist in distinguishing between malignant tumors and benign masses. In spite of the established importance of shape factors in the analysis of breast tumors and masses, difficulties exist in obtaining accurate and artifact-free boundaries of the related regions from mammograms. Whereas manually drawn contours could contain artifacts related to hand tremor and are subject to intra-observer and inter-observer variations, automatically detected contours could contain noise and inaccuracies due to limitations or errors in the procedures for the detection and segmentation of the related regions. Modeling procedures are desired to eliminate the artifacts in a given contour, while preserving the important and significant details present in the contour. This book presents polygonal modeling methods that reduce the influence of noise and artifacts whi
出版日期Book 2011
版次1
doihttps://doi.org/10.1007/978-3-031-79429-2
isbn_softcover978-3-031-79428-5
isbn_ebook978-3-031-79429-2Series ISSN 1930-0328 Series E-ISSN 1930-0336
issn_series 1930-0328
copyrightSpringer Nature Switzerland AG 2011
The information of publication is updating

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Book 2011ave rough, spiculated, or microlobulated contours, whereas the latter commonly have smooth, round, oval, or macrolobulated contours. Features that characterize shape roughness and complexity can assist in distinguishing between malignant tumors and benign masses. In spite of the established importan
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1930-0328 the important and significant details present in the contour. This book presents polygonal modeling methods that reduce the influence of noise and artifacts whi978-3-031-79428-5978-3-031-79429-2Series ISSN 1930-0328 Series E-ISSN 1930-0336
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978-3-031-79428-5Springer Nature Switzerland AG 2011
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