arXiv Machine Learning By Kirsten Odendaal, Rade Bajic

MNet++: Extended 2D/3D Networks for Anisotropic Medical Image Segmentation

Read the original on arXiv Machine Learning →

arXiv:2606. 15370v1 Announce Type: cross Abstract: This work demonstrates a full reproduction and extension of MNet, a hybrid 2D/3D convolutional network designed for anisotropic medical image segmentation.

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arXiv Computer Vision
Aug 21

FermatSyn: SAM2-Enhanced Bidirectional Mamba with Isotropic Spiral Scanning for Multi-Modal Medical Image Synthesis

arXiv:2505. 07687v4 Announce Type: replace-cross Abstract: Multi-modal medical image synthesis is pivotal for alleviating clinical data scarcity, yet existing methods fail to reconcile global anatomical consistency with high-fidelity local detail.

By Feng Yuan, Yifan Gao, Haoyue Li, Xin Gao