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What is VGG-SCNet: Deep Learning for MRI Tumor Detection about?

This document describes a research paper that proposes a new deep learning framework called VGG-SCNet for detecting brain tumors on MRI images. VGG-SCNet uses a stacked classifier approach built on top of the VGG convolutional neural network. The researchers analyzed various traditional machine learning models, deep learning models using transfer learning, and developed a stacked classifier that outperformed all other models. The proposed VGG-SCNet achieved precision, recall, and F1 scores of 99.2%, 99.1%,

Author

AVINASH BHAT

Language

EN