Advancements in Breast Cancer Detection: A Comprehensive Review of MRI Imaging and Deep Learning Approaches

This comprehensive review systematically examines recent progress in breast cancer detection, concentrating specifically on the convergence of Magnetic Resonance Imaging (MRI) and deep learning methodologies during the timeframe spanning ۲۰۲۱ to ۲۰۲۳. The analysis encompasses pivotal developments, research outcomes, and emerging technologies, culminating in a detailed exploration of their repercussions within the field and prospective implications for the future. An exhaustive evaluation of the strengths and limitations inherent in current practices is meticulously articulated, engaging with controversies and debates prevalent in the discourse. The review strategically offers insights into potential avenues for future research, presenting a nuanced and scholarly perspective that illuminates both the achievements and challenges shaping the landscape of breast cancer detection.

کلیدواژه ها:

_Breast Cancer ، MRI Imaging ، Deep Learning ، Medical Imaging ، Early Detection ، Artificial Intelligence ، Healthcare Technology