swin_unetr import SwinUNETR params = { "img_size": (608, 576), "in_channels": 3, "out_channels": 3, "spatial_dims": 2, "use_v2": False, } model = SwinUNETR(**params) input = torch.randn(1, 3, 608, 576) out = model(input) # Works as expected params["use_v2"] = Tru...
【总结】SegMamba:一种新颖的 3D 医学图像分割 Mamba 模型,旨在有效捕获每个尺度的整个 volume 特征中的远程依赖性,性能又快又好!优于SwinUNETR-V2等网络,部分代码刚刚开源! SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation 单位:香港科技大学, 北京智源 代码:https://github.com...