| 書目名稱 | Non-Linear Filters for Mammogram Enhancement | | 副標(biāo)題 | A Robust Computer-ai | | 編輯 | Vikrant Bhateja,Mukul Misra,Shabana Urooj | | 視頻video | http://file.papertrans.cn/667/666949/666949.mp4 | | 概述 | Presents comprehensive discussions on breast cancer, mammography, breast anomalies, and computer-aided analysis of mammograms.Covers fundamental concepts in mammogram enhancement and the associated ch | | 叢書名稱 | Studies in Computational Intelligence | | 圖書封面 |  | | 描述 | .This book presents non-linear image enhancement approaches to mammograms as a robust computer-aided analysis solution for the early detection of breast cancer, and provides a compendium of non-linear mammogram enhancement approaches: from the fundamentals to research challenges, practical implementations, validation, and advances in applications..The book includes a comprehensive discussion on breast cancer, mammography, breast anomalies, and computer-aided analysis of mammograms. It also addresses fundamental concepts of mammogram enhancement and associated challenges, and features a detailed review of various state-of-the-art approaches to the enhancement of mammographic images and emerging research gaps. Given its scope, the book offers a valuable asset for radiologists and medical experts (oncologists), as mammogram visualization can enhance the precision of their diagnostic analyses; and for researchers and engineers, as the analysis of non-linear filters is one ofthe most challenging research domains in image processing..?.?. .?. | | 出版日期 | Book 2020 | | 關(guān)鍵詞 | Breast Cancer Diagnostics; Mammogram Enhancement; Image Quality Assessment; Mammography; Non-linear Filt | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-15-0442-6 | | isbn_softcover | 978-981-15-0444-0 | | isbn_ebook | 978-981-15-0442-6Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer Nature Singapore Pte Ltd. 2020 |
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