NIH Deeplesion#1769
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…nually download data
…ed manual_down_instruction
add comments and minor change the code for readability
delete empty line; remove unused line
refine the code and comment based on the suggestions from cyfra
…ed manual_down_instruction
merge jasonfix into master
add two more configs
the two new configs named `abnormal` and `normal`. `abnormal` contains the same data and features as the previous `2d` except the feature `label`. On the other hand, `normal` contains only normal data(the same number as `abnormal`). The `label` features has been removed from two new configs because data contained in the two new configs is pure. This change aims to support more flexible data usage.
cyfra
suggested changes
Apr 8, 2020
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@jason-zl190 |
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@cyfra Thanks for your review and advice. I changed the code as your suggestion. Please let me know if there is anything I missed. |
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Add Dataset
dataset_info.jsonGist: https://gist.github.com/jason-zl190/34076f6d8afefae5dc1b1685c9d77781Description
The DeepLesion dataset contains 32,120 axial computed tomography (CT) slices
from 10,594 CT scans (studies) of 4,427 unique patients. There are 1–3 lesions
in each image with accompanying bounding boxes and size measurements,
adding up to 32,735 lesions altogether. The lesion annotations were
mined from NIH’s picture archiving and communication system (PACS).
Checklist
__init__.pydownload_and_preparesuccessfullyBibTeXformat