Cancer Metastasis DetectionWith Neural Conditional Random Field(NCRF)翻译
摘要： 乳腺癌诊断通常需要准确检测癌症转移节点通过划窗整个图像（WSI）。深度卷积的最新进展（CNNs）已经在医学图像分析中显示出显着的成功，特别是在计算机组织病理学方面。由于WSI图像惊人的尺寸，大多数方法都是将一张图片切分成许多小图片并独立的对每个小图片分类（这点和巨型遥感图片类似）。然而，邻近的图片通常共享空间相关性，忽略这些图片的相关性可能会导致错误的预测。在本文中，我们提出了一种神经网络
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相关文章
- 1. 《Cancer Metastasis Detection With Neural Conditional Random Field》简介
- 2. 论文翻译：Neural conditional random felds
- 3. 论文翻译：Conditional Random Fields as Recurrent Neural Networks
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- 5. Conditional GAN 全文翻译
- 6. Introduction to Conditional Random Fields
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- 8. 肝脏分割 Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
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