ID - 131787221 TI - Non-Linear Filters for Mammogram Enhancement AU - Bhateja, Vikrant AU - Misra, Mukul AU - Urooj, Shabana AU - SpringerLink (Online service) PY - 2020 SN - 9789811504426 PB - Singapore Springer Nature Singapore :Imprint: Springer DB - UniCat KW - Oncology. Neoplasms KW - Physical methods for diagnosis KW - Electronics KW - Telecommunication technology KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Computer. Automation KW - neuronale netwerken KW - fuzzy logic KW - cybernetica KW - optische communicatie KW - optische elektronica KW - oncologie KW - datacommunicatie KW - radiologie KW - KI (kunstmatige intelligentie) KW - AI (artificiële intelligentie) UR - https://www.unicat.be/uniCat?func=search&query=sysid:131787221 AB - 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. . ER -