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cs.CV2025
Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification
Han Liu, Bogdan Georgescu, Yanbo Zhang +8
3D medical image classification is essential for modern clinical workflows. Medical foundation models (FMs) have emerged as a promising approach for scaling to new tasks, yet curre…
cs.CV2025
SegResMamba: An Efficient Architecture for 3D Medical Image Segmentation
Badhan Kumar Das, Ajay Singh, Saahil Islam +2
The Transformer architecture has opened a new paradigm in the domain of deep learning with its ability to model long-range dependencies and capture global context and has outpaced…