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MrGiovanni / SuPreM

[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
https://www.cs.jhu.edu/~alanlab/Pubs23/li2023suprem.pdf
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Welcome to suggest more medical segmentation backbones #1

Open MrGiovanni opened 10 months ago

MrGiovanni commented 10 months ago

Suggested format

PengchengShi1220 commented 7 months ago

Thanks for your impressive work! We developed a Topology-Aware backbone based on the Vision GNN (ViG), offering new insights in medical image segmentation.

Paper title: NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation
Authors: Pengcheng Shi, Xutao Guo, Yanwu Yang, Chenfei Ye, Ting Ma
Paper link: https://arxiv.org/abs/2305.15911
Code link: https://github.com/PengchengShi1220/NexToU

ariharasudhanm commented 2 months ago

First of all I appreciate you and your team for creating such a big initiative.

Paper title: SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation
Paper link: https://arxiv.org/abs/2404.10156
Code link: https://github.com/OSUPCVLab/SegFormer3D?tab=readme-ov-file

Thanks.

StefanFischer commented 1 month ago

Hello,

thank you for the nice work! is there also any interest to benchmark advanced sampling strategies on the dataset?