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MRI Brain Image Classification with Deep Learning by Rohit Arya is a document available to read on EtoBox.

What is MRI Brain Image Classification with Deep Learning about?

The document proposes and evaluates several deep learning architectures for classifying MRI brain images. It implements VGG-16, ResNet-50, and Inception v3 on a dataset of 520 MRI images, finding accuracies of 70%, 81%, and 81% respectively. It then proposes a new architecture using 1x1 convolutions initially, residual connections throughout, and shows this achieves the highest accuracy of 86.8% while reducing training time. The document demonstrates evaluating standard architectures on MRI data and proposi

Author

Rohit Arya

Language

EN