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Detecting Glioma, Meningioma, and Pituitary Tumors, and Normal Brain Tissues based on Yolov11 and Yolov8 Deep Learning Models
- Accurate diagnosis of brain tumors is crucial for treatment planning and medical outcomes.
- Manual interpretation of MRI scans is time-consuming and prone to errors.
- Researchers propose using YoloV11 and YoloV8 deep learning models to detect glioma, meningioma, and pituitary brain tumors.
- By fine-tuning the models, they achieve high accuracies and demonstrate the potential of CNNs in brain tumor detection.
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