论文笔记（十二）Tversky loss function for image segmentation using 3D fully convolutional deep networks

时间 2020-12-27

标签医学图像处理采样损失函数 dice tversky 繁體版

原文原文链接

论文地址：Tversky loss function for image segmentation using 3D fully convolutional deep networks 摘要首先提出，医学图像分割中的一个重要挑战是数据不平衡（data imbalance），一般情况下，病变体素（voxel）的数量远低于非病变体素的数量。这样的数据训练模型会产生高精度的结果，但是展召回率（灵敏度）

>>阅读原文<<

1. 论文阅读笔记（五十四）：V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
2. 【论文笔记】Fully Convolutional Networks for Semantic Segmentation
3. 论文笔记：Fully Convolutional Networks for Semantic Segmentation
4. 【论文翻译】Fully Convolutional Networks for semantic Segmentation
5. 【论文翻译】Fully Convolutional Networks for Semantic Segmentation
6. Fully Convolutional Adaptation Networks for Semantic Segmentation
7. AutoML论文笔记（十三）Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segment
8. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation-论文笔记
9. 论文阅读笔记（五十六）：Image Super-Resolution Using Deep Convolutional Networks
10. Fully Convolutional Networks for Semantic Segmentation 论文解读
更多相关文章...
• C# 二进制文件的读写 - C#教程
• SQL MIN() Function - SQL 教程
• Tomcat学习笔记（史上最全tomcat学习笔记）
• RxJava操作符（二）Transforming Observables

最新文章

1. vs2019运行opencv图片显示代码时，窗口乱码
2. app自动化 - 元素定位不到？别慌，看完你就能解决
3. 在Win8下用cisco ××× Client连接时报Reason 422错误的解决方法
4. eclipse快速补全代码
5. Eclipse中Java/Html/Css/Jsp/JavaScript等代码的格式化
6. idea+spring boot +mabitys(wanglezapin)+mysql (1)
7. 勒索病毒发生变种新文件名将带有“.UIWIX”后缀
8. 【原创】Python 源文件编码解读
9. iOS9企业部署分发问题深入了解与解决
10. 安装pytorch报错CondaHTTPError：******

本站公众号

欢迎关注本站公众号,获取更多信息

1. 论文阅读笔记（五十四）：V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
2. 【论文笔记】Fully Convolutional Networks for Semantic Segmentation
3. 论文笔记：Fully Convolutional Networks for Semantic Segmentation
4. 【论文翻译】Fully Convolutional Networks for semantic Segmentation
5. 【论文翻译】Fully Convolutional Networks for Semantic Segmentation
6. Fully Convolutional Adaptation Networks for Semantic Segmentation
7. AutoML论文笔记（十三）Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segment
8. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation-论文笔记
9. 论文阅读笔记（五十六）：Image Super-Resolution Using Deep Convolutional Networks
10. Fully Convolutional Networks for Semantic Segmentation 论文解读

>>更多相关文章<<