2017
DOI: 10.1038/sdata.2017.77
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Matched computed tomography segmentation and demographic data for oropharyngeal cancer radiomics challenges

Abstract: Cancers arising from the oropharynx have become increasingly more studied in the past few years, as they are now epidemic domestically. These tumors are treated with definitive (chemo)radiotherapy, and have local recurrence as a primary mode of clinical failure. Recent data suggest that ‘radiomics’, or extraction of image texture analysis to generate mineable quantitative data from medical images, can reflect phenotypes for various cancers. Several groups have shown that developed radiomic signatures, in head … Show more

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Cited by 59 publications
(35 citation statements)
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“…Scientific papers analyzing the individual performances of winning algorithms submitted to the Challenge, along with database descriptor have been or will be published ( 14 , 21 ). In general, we also recommend publishing a post-challenge data descriptor that details data configuration as a guide for future dataset usage ( 14 ).…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…Scientific papers analyzing the individual performances of winning algorithms submitted to the Challenge, along with database descriptor have been or will be published ( 14 , 21 ). In general, we also recommend publishing a post-challenge data descriptor that details data configuration as a guide for future dataset usage ( 14 ).…”
Section: Discussionmentioning
confidence: 99%
“…We also provided contestants with a list of suggested open-source infrastructure software that supports common radiomics workflow tasks such as image data import and review as well as radiomics feature computation, along with links to download the software. After completion of the challenge, a complete digital repository was deposited (figshare: https://doi.org/10.6084/m9.figshare.c.3757403.v1 and https://doi.org/10.6084/m9.figshare.c.3757385.v1 ) ( 18 , 19 ) and registered as a public access data descriptor ( 14 ).…”
Section: Materials and Methods For Challengesmentioning
confidence: 99%
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“…In an approach designed as a competition with scoring, different researchers could test their algorithms regarding the evaluation of the HPV status and the local recurrences. During the annual meeting of the MICCAI 2106, the winners were presented 70 .…”
Section: Radiomics and Tumorsmentioning
confidence: 99%