Left Ventricle Segmentation in Cardiac MR Images Using Fully Convolutional Network.
Abstract: 医学图像分析，尤其是特定器官的分割，在发展临床决定支持系统中起着重要的作用。在心脏MRI中，分割左右心室帮助内科医生诊断不同的心脏疾病。针对这个任务有一些挑战，包括左心室和其他器官之间的亮度和形状的相似性，在多数图片中不准确的边界和噪声的形状。在本文中，我们提出了一种自动方法用于在心脏MRI中分割左心室。我们首先自动提取ROI，然后使用它作为FCN的输入。我们准确地训练了网络尽
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相关文章
- 1. Automatic Localization of the Left Ventricle in Cardiac MRI Images Using Deep Learning
- 2. A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI
- 3. Biomedical images dataset findings（3 cardiac page）
- 4. Automatic Segmentation of MR Brain Images With a Convolutional Neural Network
- 5. Fully Convolutional Adaptation Networks for Semantic Segmentation
- 6. Transposed convolution & Fully Convolutional Neural Network
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- 8. A New Hand Segmentation Method Based on Fully Convolutional Network
- 9. Multi-task Fully Convolutional Network for Brain Tumour Segmentation
- 10. 3d fully convolutional network for vehicle detection in point cloud