Data Science Bowl 2017 Description This code is for training a 3D Convolutional Neural Network on theLUNA16dataset in order to detect malignant nodules. I am hopeful that this can be used as the first step towards solving theDSB 2017 challenge. ...
2nd Place Solution To the 2017 National Data Science Bowl This is my contribution to the 2017 NDSB 2nd place team solution. The other half is located here https://github.com/juliandewit/kaggle_ndsb2017 For documentation and technical details, see the file here: https://github.com/dhammack/...
[1.1]2017 Data Science Bowl, Predicting Lung Cancer: 2nd Place Solution Write-up, Daniel Hammack and Julian de Wit [1.2]Predicting lung cancer [1.3]technical writeup: dsb_2017_daniel_hammack.pdf Codes [2.1]dhammack/DSB2017 on Github >> Data Normalization - Unify the Resolution and Mapping ...
现货核。 速度治愈。 想象一下,加快对几乎所有疾病的研究速度,从肺癌,心脏病到罕见疾病。 2018年数据科学杯提供了我们迄今为止最雄心勃勃的任务:创建一种算法来自动进行核检测。 我们都看到人们患有癌症,心脏病,慢性阻塞性肺疾病,阿尔茨海默氏病和糖尿病等疾病。 许多人看到亲人去世了。 想想如果治愈更快的话,将会...
Explore and run machine learning code with Kaggle Notebooks | Using data from Data Science Bowl 2017
data-science-bowl-2018.zipMt**xx 上传358.35 MB 文件格式 zip data-science-bow File descriptions • /stage1_train/* - training set images (images and annotated masks) • /stage1_test/* - stage 1 test set images (images only, you are predicting the masks) • /stage2_test/* (...
复现kaggle比赛2019DataScienceBowl现阶段排名第一的公共内核 复现过程中会添加我自己的注释和理解以及去除了一些根本没有使用过的变量 版本号为Version 24 原链接https://www.kaggle.com/braquino/convert-to-regression 首先是import一堆lib 没什么好说的
【(Kaggle)2018 Data Science Bowl夺冠方案分享】《topcoders, 1st place solution | 2018 Data Science Bowl | Kaggle》 http://t.cn/RmuTtYi
Homepage Benchmarks Edit Add a new resultLink an existing benchmark TrendTaskDataset VariantBest ModelPaperCode Medical Image Segmentation 2018 Data Science Bowl EMCAD Papers Dataset Loaders Edit AddRemove MrGiovanni/UNetPlusPlus 2,323 Tasks
Run the Data-science-bowl-2018 notebook on Google colab Download the Data-science-bowl-2018.ipynb notebook from this repo GotoColab Goto File-->Upload Notebook . Upload the notebook Goto menu Runtime-->Change runtime and select HardWare accelerator GPU (Free Nvidia K80 GPU from google,it...