SIIM-ACR Pneumothorax Segmentation
Society for Imaging Informatics in Medicine (SIIM)

SIIM_TRAIN_TEST (15295 files)
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Type: Dataset
Tags:

Bibtex:
@article{,
title= {SIIM-ACR Pneumothorax Segmentation},
keywords= {},
author= {Society for Imaging Informatics in Medicine (SIIM)},
abstract= {In this competition, you’ll develop a model to classify (and if present, segment) pneumothorax from a set of chest radiographic images. If successful, you could aid in the early recognition of pneumothoraces and save lives.

What am I predicting?
We are attempting to a) predict the existence of pneumothorax in our test images and b) indicate the location and extent of the condition using masks. Your model should create binary masks and encode them using RLE. 

https://i.imgur.com/xJYwEv4.png},
terms= {},
license= {},
superseded= {},
url= {https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation}
}

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10 day statistics (1 downloads)

Average Time 1 hrs, 45 mins, 27 secs
Average Speed 327.54kB/s
Best Time 1 hrs, 45 mins, 27 secs
Best Speed 327.54kB/s
Worst Time 1 hrs, 45 mins, 27 secs
Worst Speed 327.54kB/s
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