内容索引

「爱情、让人受尽委屈。」 2023-06-01 06:06 2阅读 0赞

## 基础论文学习相关 ##

*  [VGG 论文研读][VGG]
 *  [GoogLeNetv1 论文研读笔记][GoogLeNetv1]
 *  [GoogLeNetv2 论文研读笔记][GoogLeNetv2]
 *  [GoogLeNetv3 论文研读笔记][GoogLeNetv3]
 *  [ResNet 论文研读笔记][ResNet]
 *  [GoogLeNetv4 论文研读笔记][GoogLeNetv4]
 *  [DenseNet 论文阅读笔记][DenseNet]
 *  [论文研读Unet++][Unet]

## 模式识别与机器学习课程学习 ##

*  [模式识别与机器学习(一)][Link 1]
 *  [模式识别与机器学习(二)][Link 2]
 *  [模式识别与机器学习(三)][Link 3]

## 机器学习相关知识 ##

*  [深度学习-数学基础][-]
 *  [k-近邻算法(KNN)][k-_KNN]  
    
 *  [机器学习中数据清洗&预处理][Link 4]
 *  [欠拟合和过拟合出现原因及解决方案][Link 5]
 *  [分类中使用的一些评价指标][Link 6]
 *  [PCA降维][PCA]
 *  [小样本学习介绍][Link 7]
 *  [图像局部特征提取][Link 8]

## Deep learning with Python 学习笔记 ##

*  [Deep learning with Python 学习笔记（1）][Deep learning with Python _1]
 *  [Deep learning with Python 学习笔记（2）][Deep learning with Python _2]
 *  [Deep learning with Python 学习笔记（3）][Deep learning with Python _3]
 *  [Deep learning with Python 学习笔记（4）][Deep learning with Python _4]
 *  [Deep learning with Python 学习笔记（5）][Deep learning with Python _5]
 *  [Deep learning with Python 学习笔记（6）][Deep learning with Python _6]
 *  [Deep learning with Python 学习笔记（7）][Deep learning with Python _7]
 *  [Deep learning with Python 学习笔记（8）][Deep learning with Python _8]
 *  [Deep learning with Python 学习笔记（9）][Deep learning with Python _9]
 *  [Deep learning with Python 学习笔记（10）][Deep learning with Python _10]
 *  [Deep learning with Python 学习笔记（11）][Deep learning with Python _11]  
    【完】

## python工具 ##

*  [python 使用 matplotlib.pyplot来画柱状图和饼图][python _ matplotlib.pyplot]
 *  [Python vtk学习(1)][Python vtk_1]
 *  [PCA降维][PCA]
 *  [机器学习工具代码][Link 9]
 *  [箱形图和小提琴图][Link 10]
 *  [基本图像操作和处理(python)][python]
 *  [图像求导及模糊][Link 11]

# 医学图像 #

*  [医学图像了解][Link 12]
 *  [Dicom图像解析][Dicom]

## AD相关 ##

*  [study design of ADNI][]  
    
 *  [ADNI数据和样例][ADNI]  
    
 *  [ADNI数据][ADNI 1]
 *  [AD阶段分类论文阅读笔记][AD]
 *  [AD分类论文研读（1）][AD_1]
 *  [阿尔茨海默病早期诊断的脑结构分级图 论文研读笔记][Link 13]
 *  [利用卷积神经网络进行阿尔茨海默病分类的神经影像模式融合 论文研读笔记][Link 14]
 *  [AD预测论文研读系列1][AD_1 1]
 *  [AD预测论文研读系列2][AD_2]

## 其它 ##

*  [NiftyNet项目介绍][NiftyNet]
 *  [NiftyNet开源平台的使用 -- 配置文件][NiftyNet_ --]
 *  [NiftyNet 数据预处理][NiftyNet 1]
 *  [niftynet Demo分析 -- brain\_parcellation][niftynet Demo_ -- brain_parcellation]
 *  [使用3D Slicer对图像进行配准][3D Slicer]
 *  [使用3D Slicer进行颅骨去除][3D Slicer 1]

转载于:https://www.cnblogs.com/zhhfan/p/11596610.html

[VGG]: https://www.cnblogs.com/zhhfan/p/10121922.html
[GoogLeNetv1]: https://www.cnblogs.com/zhhfan/p/10121938.html
[GoogLeNetv2]: https://www.cnblogs.com/zhhfan/p/10121965.html
[GoogLeNetv3]: https://www.cnblogs.com/zhhfan/p/10122019.html
[ResNet]: https://www.cnblogs.com/zhhfan/p/10124903.html
[GoogLeNetv4]: https://www.cnblogs.com/zhhfan/p/10134117.html
[DenseNet]: https://www.cnblogs.com/zhhfan/p/10187634.html
[Unet]: https://www.cnblogs.com/zhhfan/p/11123393.html
[Link 1]: https://www.cnblogs.com/zhhfan/p/11153892.html
[Link 2]: https://www.cnblogs.com/zhhfan/p/11182138.html
[Link 3]: https://www.cnblogs.com/zhhfan/p/11432296.html
[-]: https://www.cnblogs.com/zhhfan/p/10447357.html
[k-_KNN]: https://www.cnblogs.com/zhhfan/p/9761269.html
[Link 4]: https://www.cnblogs.com/zhhfan/p/10462766.html
[Link 5]: https://www.cnblogs.com/zhhfan/p/10476761.html
[Link 6]: https://www.cnblogs.com/zhhfan/p/10789742.html
[PCA]: https://www.cnblogs.com/zhhfan/p/11311895.html
[Link 7]: https://www.cnblogs.com/zhhfan/p/11381762.html
[Link 8]: https://www.cnblogs.com/zhhfan/p/11603669.html
[Deep learning with Python _1]: https://www.cnblogs.com/zhhfan/p/9936875.html
[Deep learning with Python _2]: https://www.cnblogs.com/zhhfan/p/9964805.html
[Deep learning with Python _3]: https://www.cnblogs.com/zhhfan/p/9974805.html
[Deep learning with Python _4]: https://www.cnblogs.com/zhhfan/p/9978099.html
[Deep learning with Python _5]: https://www.cnblogs.com/zhhfan/p/9985991.html
[Deep learning with Python _6]: https://www.cnblogs.com/zhhfan/p/9997807.html
[Deep learning with Python _7]: https://www.cnblogs.com/zhhfan/p/10182189.html
[Deep learning with Python _8]: https://www.cnblogs.com/zhhfan/p/10300012.html
[Deep learning with Python _9]: https://www.cnblogs.com/zhhfan/p/10304763.html
[Deep learning with Python _10]: https://www.cnblogs.com/zhhfan/p/10335907.html
[Deep learning with Python _11]: https://www.cnblogs.com/zhhfan/p/10336211.html
[python _ matplotlib.pyplot]: https://www.cnblogs.com/zhhfan/p/9971757.html
[Python vtk_1]: https://www.cnblogs.com/zhhfan/p/10312170.html
[Link 9]: https://www.cnblogs.com/zhhfan/p/10586188.html
[Link 10]: https://www.cnblogs.com/zhhfan/p/11344310.html
[python]: https://www.cnblogs.com/zhhfan/p/11469803.html
[Link 11]: https://www.cnblogs.com/zhhfan/p/11603620.html
[Link 12]: https://www.cnblogs.com/zhhfan/p/9862569.html
[Dicom]: https://www.cnblogs.com/zhhfan/p/9936945.html
[study design of ADNI]: https://www.cnblogs.com/zhhfan/p/9842377.html
[ADNI]: https://www.cnblogs.com/zhhfan/p/9844874.html
[ADNI 1]: https://www.cnblogs.com/zhhfan/p/10151697.html
[AD]: https://www.cnblogs.com/zhhfan/p/9879064.html
[AD_1]: https://www.cnblogs.com/zhhfan/p/10079771.html
[Link 13]: https://www.cnblogs.com/zhhfan/p/10146237.html
[Link 14]: https://www.cnblogs.com/zhhfan/p/10146253.html
[AD_1 1]: https://www.cnblogs.com/zhhfan/p/10246650.html
[AD_2]: https://www.cnblogs.com/zhhfan/p/10246667.html
[NiftyNet]: https://www.cnblogs.com/zhhfan/p/9800473.html
[NiftyNet_ --]: https://www.cnblogs.com/zhhfan/p/9806900.html
[NiftyNet 1]: https://www.cnblogs.com/zhhfan/p/10424489.html
[niftynet Demo_ -- brain_parcellation]: https://www.cnblogs.com/zhhfan/p/9898196.html
[3D Slicer]: https://www.cnblogs.com/zhhfan/p/10498919.html
[3D Slicer 1]: https://www.cnblogs.com/zhhfan/p/10533948.html