Data

Lung Segmentation Data Kit

Commonwealth Scientific and Industrial Research Organisation
Rusak, Filip ; Wang, Dadong ; Arzhaeva, Yulia
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/5c49548be0551&rft.title=Lung Segmentation Data Kit&rft.identifier=10.25919/5c49548be0551&rft.publisher=Commonwealth Scientific and Industrial Research Organisation (CSIRO)&rft.description=Lung Segmentation Data Kit is a collection of 385 Chest X-Rays (CXRs) and corresponding lung masks included in both Japanese Society of Radiological Technology (JSRT) and Montgomery dataset. The CXRs included in Montgomery set, as well as their masks, are augmented and resized to the standard JSRT resolution of 2048x2048 pixels. The intensity values of CXR images included in JSRT set are normalised to the intensity values of images included in Montgomery set. The dataset was created in order to train and test Machine Learning based Lung Segmentation Methods on a single unified and denoted dataset instead of two separate ones. The Data Kit provides the end user with more diverse but unified dataset that resembles to the real-life situations.&rft.creator=Rusak, Filip &rft.creator=Wang, Dadong &rft.creator=Arzhaeva, Yulia &rft.date=2019&rft.edition=v1&rft_rights=All Rights (including copyright) CSIRO 2018.&rft_rights=Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/&rft_subject=Lung Segmentation, JSRT, Montgomery&rft_subject=Radiology and Organ Imaging&rft_subject=MEDICAL AND HEALTH SCIENCES&rft_subject=CLINICAL SCIENCES&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution
https://creativecommons.org/licenses/by/4.0/

All Rights (including copyright) CSIRO 2018.

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Data is accessible online and may be reused in accordance with licence conditions

Brief description

Lung Segmentation Data Kit is a collection of 385 Chest X-Rays (CXRs) and corresponding lung masks included in both Japanese Society of Radiological Technology (JSRT) and Montgomery dataset. The CXRs included in Montgomery set, as well as their masks, are augmented and resized to the standard JSRT resolution of 2048x2048 pixels. The intensity values of CXR images included in JSRT set are normalised to the intensity values of images included in Montgomery set.

The dataset was created in order to train and test Machine Learning based Lung Segmentation Methods on a single unified and denoted dataset instead of two separate ones. The Data Kit provides the end user with more diverse but unified dataset that resembles to the real-life situations.

This dataset is part of a larger collection

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