most citedMAPUNetR: A Hybrid Vision Transformer and U-Net Architecture for Efficient and Interpretable Medical Image Segmentation

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

eess.IV2024★ 2 cited

MAPUNetR: A Hybrid Vision Transformer and U-Net Architecture for Efficient and Interpretable Medical Image Segmentation

Ovais Iqbal Shah, Danish Raza Rizvi, Aqib Nazir Mir

Medical image segmentation is pivotal in healthcare, enhancing diagnostic accuracy, informing treatment strategies, and tracking disease progression. This process allows clinicians…