White matter hyperintensity and stroke lesion segmentation and differentiation using cnn_part1_2017
作者：R. Guerrero ∗1 , C. Qin ∗1 , O. Oktay 1 這篇主要介紹網絡部分，下一篇介紹評估方法 Abstract 最近，一些方法被提出來自動分割WMH區域。這些方法大多分割MRI圖像的WHM，但是不能區分WMH和中風。其他能夠區分腦部MRI圖像不同病理的方法，不能同時分割大腦WMH和中風。這篇論文提出一種卷積神經網絡，能過分割高信號，並且能夠區分WMH和中風區域。特
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相關文章
- 1. White matter hyperintensity and stroke lesion segmentation and differentiation using cnn_part2_2017
- 2. 醫學分割論文:Automatic Liver and Lesion Segmentation in CT Using Cascaded FCNN and 3D-CRF
- 3. 【論文閱讀】Automated quantification of white matter lesion in magnetic resonance imaging
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- 5. 【論文閱讀筆記】Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Net
- 6. 20140725 Generating object segmentation proposals using global and local search
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- 9. 論文筆記《A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification》
- 10. Eclipse and test packages now in white and un-run