BRAIN TUMOUR DETECTION USING DEEP LEARNING

ARITFICIAL INTELLIGENCE

The project titled "Brain Tumor Detection Using Deep Learning" addresses a critical healthcare concern by leveraging advanced machine learning techniques. The "Brain Tumor Detection Using Deep Learning" initiative uses cutting-edge machine learning techniques to address a significant healthcare concern. Early identification is essential for effective treatment of brain tumors, a severe health risk. The goal of this research is to develop a trustworthy and efficient brain tumor detection method. Early detection of brain cancers considerably facilitates early diagnosis and treatment planning. Recently, deep learning techniques have shown promise in the processing of medical pictures. In this study, the ability to identify brain cancers using ResNet50, a deep convolutional neural network (CNN), is examined. The ResNet50 architecture is well renowned for its ability to handle difficult picture categorization tasks. The methodology, dataset, experimental findings, and future directions for brain tumor identification using ResNet50 are covered in this study.

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