【知识链接】WGAN Transformer Vit Swin-Transformer Swin-Unet Res-Vit TransUNet MAE Bra ADDA
文章目录
-
- Wasserstein gan
- Transformer
- VIT
- Resvit Residual vision transformers for multi-modal medical image synthesis（TMI2022)
- TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
- Masked Autoencoders Are Scalable Vision LearnersMasked Autoencoders Are Scalable Vision Learners
- BraTS2020数据集
- Swin-Transformer网络结构详解
- Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
- 域适应（ADDA）
Wasserstein gan
GAN有着诸多问题：模式崩溃，难以收敛等等
https://zhuanlan.zhihu.com/p/25071913
Transformer
图解Transformer（完整版）
https://blog.csdn.net/longxinchen_ml/article/details/86533005
自注意力机制（self-attention）
https://blog.csdn.net/m0_63520910/article/details/124100836
Transformer详解之Embedding、Positional Encoding层（面向初学者）
https://blog.csdn.net/qq_41018669/article/details/120341783
Positional Encoding的原理和计算
https://blog.csdn.net/weixin_44012382/article/details/113059423
VIT
ViT 论文逐段精读——B站up：跟李沐学AI讲解笔记
主要是将图片变为patch，赋予各种信息，然后当作序列信息交给tranformer处理。
https://blog.csdn.net/Snakehj/article/details/130710081?spm=1001.2101.3001.6650.17&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7ECTRLIST%7ERate-17-130710081-blog-123926380.235%5Ev38%5Epc_relevant_sort_base2&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7ECTRLIST%7ERate-17-130710081-blog-123926380.235%5Ev38%5Epc_relevant_sort_base2&utm_relevant_index=19
https://zhuanlan.zhihu.com/p/422144659
https://blog.csdn.net/qq_39064418/article/details/121767058?spm=1001.2101.3001.6650.6&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-6-121767058-blog-130710081.235%5Ev38%5Epc_relevant_sort_base2&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-6-121767058-blog-130710081.235%5Ev38%5Epc_relevant_sort_base2&utm_relevant_index=5
轻松理解ViT(Vision Transformer)原理及源码
https://zhuanlan.zhihu.com/p/640013974
Resvit Residual vision transformers for multi-modal medical image synthesis（TMI2022)
https://zhuanlan.zhihu.com/p/528184431
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
https://blog.csdn.net/Acmer_future_victor/article/details/125855664
https://zhuanlan.zhihu.com/p/391886528
Masked Autoencoders Are Scalable Vision LearnersMasked Autoencoders Are Scalable Vision Learners
https://blog.csdn.net/m0_61899108/article/details/121387120?spm=1001.2101.3001.6650.8&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7ECTRLIST%7ERate-8-121387120-blog-122127859.235%5Ev38%5Epc_relevant_sort_base2&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7ECTRLIST%7ERate-8-121387120-blog-122127859.235%5Ev38%5Epc_relevant_sort_base2&utm_relevant_index=8
https://zhuanlan.zhihu.com/p/439554945
BraTS2020数据集
https://blog.csdn.net/weixin_43953722/article/details/107521440 BraTS数据集处理详解（附代码详解）
https://blog.csdn.net/m0_46223009/article/details/128126000 Python第三方库之nibabel
https://blog.csdn.net/huangdianye/article/details/131692451 医学图像处理——读取和解读NII文件
https://blog.csdn.net/qq_44289607/article/details/123032453 nii数据的各种处理详解
Swin-Transformer网络结构详解
https://blog.csdn.net/qq_37541097/article/details/121119988?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522169503541516800226512224%2522%252C%2522scm%2522%253A%252220140713.130102334…%2522%257D&request_id=169503541516800226512224&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2alltop_positive~default-1-121119988-null-null.142v94chatsearchT3_1&utm_term=swin%20transformer&spm=1018.2226.3001.4187
https://blog.csdn.net/weixin_54546190/article/details/124422937 代码讲解
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
https://blog.csdn.net/weixin_49627776/article/details/117305352 [深度学习论文笔记]Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
https://zhuanlan.zhihu.com/p/384514268?ivk_sa=1024320u 代码讲解
https://blog.csdn.net/weixin_43788575/article/details/121074755 Swin-Unet：Swin Transformer在医学分割上的首次尝试
域适应（ADDA）
https://zhuanlan.zhihu.com/p/421214903
https://blog.csdn.net/dou3516/article/details/127149237
https://blog.csdn.net/qq_16488989/article/details/109645773