Brain tumor detection methods in MRI images using deep learning techniques

Brain tumors represent one of the most significant challenges in modern medicine, and their timely and accurate diagnosis can profoundly influence patient treatment outcomes. With recent advancements in imaging technologies, innovative MRI image analysis methods have emerged as effective approaches for identifying and classifying brain tumors. This article explores various deep learning-based techniques for brain tumor diagnosis and evaluates the accuracy and efficiency of these methods in comparison to traditional approaches. Additionally, it addresses the challenges associated with implementing these techniques and discusses future research prospects in this field. The findings of this study could enhance diagnostic and therapeutic processes related to brain tumors and contribute to the development of novel clinical tools.

کلیدواژه ها:

deep learning ، brain tumor ، neural network ، MRI images