Methods: We propose a hybrid deep learning framework integrating Mask R-CNN for automated plaque segmentation with a dual-path classification pipeline. A dataset of 610 expert-annotated MRI scans from ...

Abstract This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising ...

Additionally, image segmentation methods are incorporated like image thresholding, contour detection, edge detection and histogram equalization for better identification of tumor.

7 School of Computing, Shanmugha Arts, Science, Technology & Research Academy Deemed University, Thanjavur, India Brain tumor classification plays a niche role in medical prognosis and effective ...

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