| Management number | 233436095 | Release Date | 2026/06/27 | List Price | $34.14 | Model Number | 233436095 | ||
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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. Read more
| ASIN | B07ZXTCS55 |
|---|---|
| XRay | Not Enabled |
| ISBN13 | 978-9811504426 |
| Edition | 1st ed. 2020 |
| Language | English |
| File size | 22.5 MB |
| Page Flip | Enabled |
| Publisher | Springer |
| Word Wise | Not Enabled |
| Print length | 384 pages |
| Accessibility | Learn more |
| Screen Reader | Supported |
| Part of series | Studies in Computational Intelligence |
| Publication date | November 2, 2019 |
| Enhanced typesetting | Enabled |
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