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Research Areas
- Brain Tumor Detection and Classification
- Advanced Neural Network Applications
- Machine Learning and ELM
HITEC University
2022
Early detection of brain tumors can save precious human life. This work presents a fully automated design to classify tumors. The proposed scheme employs optimal deep learning features for the classification FLAIR, T1, T2, and T1CE Initially, we normalized dataset pass them ResNet101 pretrained model perform transfer our dataset. approach results in fine-tuning tumor classification. problem with this is generation redundant features. These degrade accuracy cause computational overhead. To...
10.1155/2022/1465173
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EN
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Computational Intelligence and Neuroscience
2022-08-04
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