White matter hyperintensity and stroke lesion segmentation and differentiation using cnn_part2_2017

时间 2021-07-12

标签论文笔记繁體版

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4.2 Comparison to state-of-the-art 作者和当前最好的方法进行了比较，LST（http://www.statistical-modelling.de/lst.html）工具里边LPA算法和LGA 算法。LPA只用到FLAIR图像，LGA用到了FLAIR图像和T1加权图像。进行比较的还有DeepMedic。还有一些参数设置。表2展示了自动分割和专家标记的WMH和中风

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1. White matter hyperintensity and stroke lesion segmentation and differentiation using cnn_part1_2017
2. 医学分割论文:Automatic Liver and Lesion Segmentation in CT Using Cascaded FCNN and 3D-CRF
3. 【论文阅读】Automated quantification of white matter lesion in magnetic resonance imaging
4. Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning
5. 【论文阅读笔记】Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Net
6. 20140725 Generating object segmentation proposals using global and local search
7. Joint semantic segmentation and boundary detection using iterative pyramid cintexts
8. A MULTI-TASK FRAMEWORK WITH FEATURE PASSING MODULE FOR SKIN LESION CLASSIFICATION AND SEGMENTATION
9. 论文笔记《A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification》
10. Eclipse and test packages now in white and un-run

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