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About Brain Tumor Classification Based On Fine-Tuned Models and The Ensemble Method
This document summarizes a research article about classifying brain tumors using deep learning and machine learning models. It proposes using fine-tuned Inception-v3 and Xception models to extract features from MRI images, and then classifying the tumors using algorithms like softmax, random forest, SVM, KNN, and an ensemble technique. The ensemble model that combines features from Inception-v3 and Xception outperforms other individual models, achieving a test accuracy of 94.34% for identifying glioma, meningioma, and pituitary tumors. This automated diagnostic approach could help radiologists make more accurate and timely diagnoses of brain tumors.
Detailed Information
| Author: | ['PAVITHRA M 1974312'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 17 |
| Language: | English |
| Format: | |
| Price: | FREE |
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