cd Swin-UMamba/swin_umamba/nnunetv2/experiment_planning python plan_and_preprocess_entrypoints.py -d DATASET_ID --verify_dataset_integrity 处理后的文件夹在data/nnUNet_preprocessed下 注: Swin-UMamba是处理的2d图像,而这里进行数据
通过上述操作,Swin-UMamba的参数量从40M降至27M、FLOPs从58.4G降至15G,Swin-UMamba的网络结构如图2所示。 实验结果 实验结果如表1、表2和表3所示,在AbdomenMRI(腹部MRI器官分割)、Endoscopy(内窥镜手术器械分割)和Microscopy(细胞分割)三个数据集上,Swin-UMamba和Swin-UMamba相比于baseline方法均有显著的提升。例...
#create a new conda envconda create -n swin_umamba python=3.10 conda activate swin_umamba#install requirementspip install torch==2.0.1 torchvision==0.15.2 pip install causal-conv1d==1.1.1 pip install mamba-ssm pip install torchinfo timm numba#install swin_umambagit clone https://github.com...
27 changes: 18 additions & 9 deletions 27 swin_umamba/nnunetv2/nets/SwinUMamba.py Original file line numberDiff line numberDiff line change @@ -1,5 +1,4 @@ import re import time import math @@ -450,7 +449,7 @@ def __init__( self, in_chans=1, out_chans=13, feat_size=...
Swin-UMamba采用类似于UNet的结构，包括编码器、解码器和跳跃连接。编码器部分采用VMamba-Tiny网络结构加载预训练模型参数，主要由patch merging模块和VSS模块构成。解码器部分在上采样模块加入残差卷积模块处理跳跃连接特征，每个尺度上加入分割头用于深度监督。通过这种方式，Swin-UMamba有效利用预训练模型的多...
Swin-UMamba:一种基于 Mamba 的新型模型,专为医学图像分割任务而设计,利用了基于 ImageNet 预训练的优势,在腹部 MRI、肠镜检查和显微镜检查数据集上性能表现出色! 点击关注 @CVer官方知乎账号,可以第一时间…
conda create -n swin_umamba python=3.10 conda activate swin_umamba pip install torch==2.0.1 torchvision==0.15.2 pip install causal-conv1d==1.1.1 pip install mamba-ssm pip install torchinfo timm numbaStep-2: Install Swin-UMambagit clone https://github.com/JiarunLiu/Swin-UMamba cd Swin-...
Files main assets data evaluation scripts swin_umamba .gitignore LICENSE README.mdBreadcrumbs Swin-UMamba / .gitignore Latest commit JiarunLiu first commit 6855410· Feb 5, 2024 HistoryHistory File metadata and controls Code Blame 1 lines (1 loc) · 9 Bytes Raw /.vscode 1 ...
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