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Hi, vessemer:
Great work! Thanks for sharing your codes.
How to run your project? What is the step?
Thank you very much!
Best regards.
Gu Yu
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Edit by Dandelion Sprout 25th of February 2020: GitHub spectacularly failed to tell me that there was a comment limit of 2,500 comments in issue threads?! So now it seems that discussion has been forc…
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Hello, Julian,
Thank you for offering the code and great work.
I've a question on the data weight of trainset.
I notice that there are several data sources in the trainset such as labels from…
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## Overview
Participants in the [Data Science Bowl](https://www.kaggle.com/c/data-science-bowl-2017) produced several algorithms that we would like to incorporate. To help facilitate this effort, we …
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hello,I see your paper just use the LIDC and LUJNA16, but why the code detector/main.py use the DataBowl3?
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Perl 6 was initially conceived to be the next version of Perl. It took way too long to mature to an initial release. Meanwhile, people interested in taking Perl 5 along, took back the reigns and c…
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hiii julian
I am little bit confused about the ndsb dataset. you gave the two solutions for the preprocessing of the dataset.one is for luna dataset and ndsb dataset. from where ndsb dataset you g…
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I got error while running the download command.
`kg download -u '******' -p '******' --competition 'https://www.kaggle.com/c/data-science-bowl-2017'`
I got the following error:
```
Starting…
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For the 2017 Kaggle Data Science Bowl the tutorial (https://github.com/booz-allen-hamilton/DSB3Tutorial) uses the SimpleITK package for loading and processing DICOMS a tool that is much better suited …
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When plotting scans, annotations or contours, plotting functions expect a `000000.dcm` file when LIDC-IRC dataset does not have them.
Bug related to plotting methods: `scan.visualize()`, `ann.visu…
jovsa updated
7 years ago