Abstract
This paper analyzes the diagnosis of breast diseases is a critical aspect of modern healthcare, as early detection can greatly improve patient outcomes. Mathematical methods have increasingly been utilized in recent years as a means of aiding in the diagnosis of breast diseases. This abstract provides an analysis of the various mathematical methods that have been developed and applied to this important area of medical research. The methods include but are not limited to artificial intelligence (AI), machine learning, and statistical modeling. The strengths and limitations of these approaches are examined, as well as their potential impact on clinical practice. Furthermore, the abstract will discuss the current state of research in this field and offer insights into future directions for the development and application of mathematical methods in the diagnosis of breast diseases. Keywords: mathematical methods, breast diseases (BD), mastopathy, fibroadenoma, risk factors, X-ray devices, ultrasound examination (USE).
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
