「Medical Image Analysis」Note on Deep Multi-Planar Co-Training
Sina Weibo：小锋子Shawn Tencent E-mail：[email protected] http://blog.csdn.net/dgyuanshaofeng/article/details/82929150 如图1所示。第一步，使用教师模型在标注数据 S L S_{L} SL上进行全监督训练。第二步，使用已训练的教师/学生模型（第一次是教师，之后是学生）在未标注数据 S U
相关文章
- 1. 「Medical Image Analysis」Note on Deep Attentional Features
- 2. 「Medical Image Analysis」Note on Deep Supervision Mechanism
- 3. 「Medical Image Analysis」Note on Pancreatic Cyst Segmenation
- 4. A Survey on Deep Learning in Medical Image Analysis
- 5. [Style Transfer]——GANs for Medical Image Analysis
- 6. 「Medical Image Analysis」Note on OAN-RCs（带反转连接的器官注意力网络）
- 7. 「Deep Learning」Note on AdaptSegNet
- 8. 「Deep Learning」Note on RetinaNet
- 9. 「Deep Learning」Note on MaskLab
- 10. Pre-training on Grayscale ImageNet Improves Medical Image Classification
- 更多相关文章...
- • RSS
元素 - RSS 教程 - • ASP.NET Image 控件 - ASP.NET 教程
- • Docker 清理命令
- • RxJava操作符（一）Creating Observables
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 「Medical Image Analysis」Note on Deep Attentional Features
- 2. 「Medical Image Analysis」Note on Deep Supervision Mechanism
- 3. 「Medical Image Analysis」Note on Pancreatic Cyst Segmenation
- 4. A Survey on Deep Learning in Medical Image Analysis
- 5. [Style Transfer]——GANs for Medical Image Analysis
- 6. 「Medical Image Analysis」Note on OAN-RCs（带反转连接的器官注意力网络）
- 7. 「Deep Learning」Note on AdaptSegNet
- 8. 「Deep Learning」Note on RetinaNet
- 9. 「Deep Learning」Note on MaskLab
- 10. Pre-training on Grayscale ImageNet Improves Medical Image Classification