The rapid advancements in medical imaging technologies have revolutionized the field of diagnostics, offering detailed insights into various physiological and pathological conditions. However, the sheer volume and complexity of medical images generated daily necessitate the development of automated systems capable of processing and analyzing this data efficiently. Deep learning, a subset of artificial intelligence, has emerged as a powerful tool in addressing these challenges, enabling significant improvements in the accuracy and speed of image analysis.