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Titlebook: Intelligent Systems and Machine Learning; First EAI Internatio Sachi Nandan‘Mohanty,Vicente Garcia Diaz,G. A. E. Conference proceedings 20

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Manoranjan Dash,M. Narayana,Nampelly Pavan Kalyan,Md Azam Pasha,D. Chandraprakash
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Sreenidhi Ganachari,Pramodini Nandigam,Anchal Daga,Sachi Nandan Mohanty,S. V. Sudha
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Sachi Nandan‘Mohanty,Vicente Garcia Diaz,G. A. E.
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Improving Multi-class Brain Tumor Detection Using Vision Transformer as Feature Extractorby utilizing KNN yielded detection of pituitary tumor (98.80% accuracy, 0.99 AUC), glioma (93.47% accuracy, 0.93 AUC). The results revealed that proposed approach with vision transformer and decision tree features extractor are more robust in detecting multiclass brain tumor prediction. The proposed
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Brain Imaging Tool in Patients with Trans Ischemic Attack: A Comparative Research Study Analysis of of the images in terms of the detection of abnormalities, and it is being done so right now. By analysing multiple groups of abnormalities side by side, the purpose of this research is to help advance the development of MRI and CT scans that are more accurate. The comparison of several different typ
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