White matter hyperintensity and stroke lesion segmentation and differentiation using cnn_part1_2017

时间 2021-07-12

标签论文笔记繁體版

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作者：R. Guerrero ∗1 , C. Qin ∗1 , O. Oktay 1 这篇主要介绍网络部分，下一篇介绍评估方法 Abstract 最近，一些方法被提出来自动分割WMH区域。这些方法大多分割MRI图像的WHM，但是不能区分WMH和中风。其他能够区分脑部MRI图像不同病理的方法，不能同时分割大脑WMH和中风。这篇论文提出一种卷积神经网络，能过分割高信号，并且能够区分WMH和中风区域。特

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1. White matter hyperintensity and stroke lesion segmentation and differentiation using cnn_part2_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》
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