Mri-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques

HIGHLIGHTS

SUMMARY

In medical terms, tumors are known as malignant or benign neoplasms, of which there are more than 200 diverse varieties that may affect humans. Recent advances in machine_learning, particularly in deep learning, have led to the identification and classification of medical imaging patterns. In image processing, the most successful techniques currently used are Convolutional Neural_Networks (CNNs), as they have many layers and high diagnostic accuracy if the number of input images is high. Autoencoders are an unsupervised learning method in which neural_networks are leveraged for representation learning. Remarkably, various deep learning and machine_learning algorithms . . .

 



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