Search Results - md+mostafijur+rahman

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Efficient MedNeXt: Multi-Receptive Dilated Convolutions for Medical Image Segmentation
A neural network architecture for efficient and accurate 3D medical image segmentation on standard hardware EfficientMedNeXt is a lightweight, high-accuracy neural network for 3D medical image segmentation, using innovative multi-scale convolution blocks and streamlined architecture to deliver fast, precise results with minimal computational resources,...
Published: 4/9/2026   |   Updated: 4/9/2026   |   Inventor(s): Radu Marculescu, Md Mostafijur Rahman
Keywords(s):  
Category(s): Computer > AI/ML, Computer > Images, video, graphics, visualization
Attention-based decoder for medical image segmentation
A new attention-based decoder for medical image segmentation called CASCADE enhances hierarchical vision transformers by capturing both global and local contextual relationships among pixels for improved accuracy. Background Medical image segmentation is a critical task in computer vision and medical image analysis, aiming to partition an image into...
Published: 3/11/2026   |   Updated: 3/11/2026   |   Inventor(s): Radu Marculescu, Md Mostafijur Rahman
Keywords(s):  
Category(s): Life sciences > Imaging