Comments (4)
sorry,there is not pubilshed paper,but you can follow my wechart public account,there are many articles.
from luna16-lung-nodule-analysis-2016-challenge.
@junqiangchen Thank you for getting back to me. Could you please provide any type of documentation for this repo?
For example, the masks in the readme file look like they were somehow converted to square shaped masks! I am not sure why was that done!
Could you kindly provide a short step-by-step description of the pipeline? This would really elevate the quality of this repo and help other to re-use it.
Many thanks in advance.
the How to use part is simply introduce how to use the repo.First,convert csv file to mask image file;Second,prepare detection and classify tasks trained data;Third,trained the nets.
thank you
from luna16-lung-nodule-analysis-2016-challenge.
@junqiangchen Thank you for getting back to me. Could you please provide any type of documentation for this repo?
For example, the masks in the readme file look like they were somehow converted to square shaped masks! I am not sure why was that done!
Could you kindly provide a short step-by-step description of the pipeline? This would really elevate the quality of this repo and help other to re-use it.
Many thanks in advance.
from luna16-lung-nodule-analysis-2016-challenge.
Thank you for your response.
from luna16-lung-nodule-analysis-2016-challenge.
Related Issues (20)
- How to test a complete 3D image? HOT 2
- Coordinate Transformation Problem HOT 3
- Augmain.py file is not executing HOT 2
- How to run inference on an external .mhd file? (which scripts and in which order) HOT 1
- 请问现在还提供数据集开放下载么
- 关于data3dprepare HOT 2
- 请问用作结节分割的mask的生成中是否是正负样本均有的 HOT 1
- Issues with subset.py
- GPU HOT 1
- 数据集问题 HOT 1
- dataprocess问题
- 如何为解决layer.py文件中“from ResNet3d.layer import (conv3d, normalizationlayer, max_pool3d, resnet_Add, weight_xavier_init, bias_variable, dense_to_one_hot)报错的问题” HOT 1
- 请问有没有pytorch版本的代码,感谢 HOT 1
- 良恶性分类 HOT 1
- 良恶性分类 HOT 3
- module 'tensorflow' has no attribute 'placeholder' HOT 1
- 文件缺失 HOT 1
- 数据集csv文件生成
- 良恶 trainloss不下降 HOT 1
- 结节假阳性二分类数据划分 HOT 1
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from luna16-lung-nodule-analysis-2016-challenge.