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About Accepted Manuscript: Computers in Biology and Medicine
This paper proposes a deep learning system for classifying brain tumors into three types (glioma, meningioma, and pituitary tumors) using MRI images. The system uses a pre-trained GoogLeNet model to extract features from the images via transfer learning. These features are then classified using support vector machines. In experiments on a public MRI dataset, the system achieved a mean classification accuracy of 98%, outperforming other state-of-the-art methods. The paper also analyzes performance with limited training data and discusses misclassifications.
Detailed Information
| Author: | ['neeshu kumari'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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