Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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. .

Oncology. Neoplasms --- Physical methods for diagnosis --- Electronics --- Telecommunication technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- fuzzy logic --- cybernetica --- optische communicatie --- optische elektronica --- oncologie --- datacommunicatie --- radiologie --- KI (kunstmatige intelligentie) --- AI (artificiële intelligentie)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Electronics --- Electrical engineering --- Computer architecture. Operating systems --- embedded systems --- IoT (Internet of Things) --- elektronica --- elektrische circuits