logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Nonlinear Filters For Mammogram Enhancement A Robust Computeraided Analysis Framework For Early Detection Of Breast Cancer 1st Ed 2020 Vikrant Bhateja

  • SKU: BELL-10805970
Nonlinear Filters For Mammogram Enhancement A Robust Computeraided Analysis Framework For Early Detection Of Breast Cancer 1st Ed 2020 Vikrant Bhateja
$ 31.00 $ 45.00 (-31%)

4.4

92 reviews

Nonlinear Filters For Mammogram Enhancement A Robust Computeraided Analysis Framework For Early Detection Of Breast Cancer 1st Ed 2020 Vikrant Bhateja instant download after payment.

Publisher: Springer Singapore
File Extension: PDF
File size: 6.26 MB
Author: Vikrant Bhateja, Mukul Misra, Shabana Urooj
ISBN: 9789811504419, 9789811504426, 9811504415, 9811504423
Language: English
Year: 2020
Edition: 1st ed. 2020

Product desciption

Nonlinear Filters For Mammogram Enhancement A Robust Computeraided Analysis Framework For Early Detection Of Breast Cancer 1st Ed 2020 Vikrant Bhateja by Vikrant Bhateja, Mukul Misra, Shabana Urooj 9789811504419, 9789811504426, 9811504415, 9811504423 instant download after payment.

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 of the most challenging research domains in image processing.

Related Products