Left Ventricle Segmentation in Cardiac MR Images Using Fully Convolutional Network.
Abstract: 醫學圖像分析，尤其是特定器官的分割，在發展臨牀決定支持系統中起着重要的作用。在心臟MRI中，分割左右心室幫助內科醫生診斷不同的心臟疾病。針對這個任務有一些挑戰，包括左心室和其他器官之間的亮度和形狀的相似性，在多數圖片中不準確的邊界和噪聲的形狀。在本文中，我們提出了一種自動方法用於在心臟MRI中分割左心室。我們首先自動提取ROI，然後使用它作爲FCN的輸入。我們準確地訓練了網絡盡
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相關文章
- 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
- 7. [MICCAI2019]Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images
- 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