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Depositordc.contributorSeth, Sohan
Funderdc.contributor.otherEPSRC - Engineering and Physical Sciences Research Councilen_UK
Data Creatordc.creatorSeth, Sohan
Data Creatordc.creatorWilliams, Christopher K. I.
Data Creatordc.creatorDhaliwal, Kevin
Data Creatordc.creatorBradley, Mark
Date Accessioneddc.date.accessioned2015-10-02T12:54:15Z
Date Availabledc.date.available2015-10-02T12:54:15Z
Citationdc.identifier.citationSeth, Sohan; Williams, Christopher K. I.; Dhaliwal, Kevin; Bradley, Mark. (2015). Software to assess the utility of autofluorescence-based pulmonary optical endomicroscopy to predict the malignant potential of solitary pulmonary nodules in humans, [software]. University of Edinburgh. https://doi.org/10.7488/ds/311.en
Persistent Identifierdc.identifier.urihttps://hdl.handle.net/10283/869
Persistent Identifierdc.identifier.urihttps://doi.org/10.7488/ds/311
Dataset Description (abstract)dc.description.abstractSolitary pulmonary nodules are common, often incidental findings on chest CT scans. The investigation of pulmonary nodules is time-consuming and often leads to protracted follow-up with ongoing radiological surveillance, however, clinical calculators that assess the risk of the nodule being malignant exist to help in the stratification of patients. Furthermore recent advances in interventional pulmonology include the ability to both navigate to nodules and also to perform autofluorescence microendoscopy. In this study we assessed the efficacy of incorporating additional information from label-free fibre-based optical endomicroscopy of the nodule on assessing risk of malignancy. Using image analysis and machine learning approaches, we find that this information does not yield any gain in predictive performance in a cohort of patients.en_UK
Dataset Description (TOC)dc.description.tableofcontentsThis package contains relevant data and scripts for reproducing the results presented in the article 'Assessing the utility of autofluorescence-based pulmonary optical endomicroscopy to predict the malignant potential of solitary pulmonary nodules in humans' by Seth et al. Refer to README for more detailed information.en_UK
Languagedc.language.isoengen_UK
Publisherdc.publisherUniversity of Edinburghen_UK
Relation (Is Referenced By)dc.relation.isreferencedbyhttps://doi.org/10.1038/srep31372en_UK
Relation (Is Referenced By)dc.relation.isreferencedbySeth, Sohan et al "Assessing the utility of autofluorescence-based pulmonary optical endomicroscopy to predict the malignant potential of solitary pulmonary nodules in humans" Nature Scientific Reports (2016) DOI: 10.1038/srep31372en
Rightsdc.rightsCopyright (c) 2015 Sohan Seth Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.en
Subjectdc.subjectlung noduleen_UK
Subjectdc.subjectfibre confocal microscopy imagingen_UK
Subjectdc.subjectimage processingen_UK
Subjectdc.subjectclassificationen_UK
Subject Classificationdc.subject.classificationMathematical and Computer Sciences::Machine Learningen_UK
Titledc.titleSoftware to assess the utility of autofluorescence-based pulmonary optical endomicroscopy to predict the malignant potential of solitary pulmonary nodules in humansen_UK
Typedc.typesoftwareen_UK

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