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Data for erring patterns in manual delineation of PET-imaged lung lesions
The data presented in this article characterizes the erring patterns intrinsic to manual contouring of PET positive tumor targets in the lung from twelve quantitative agreement measuring metrics, with categories related respectively to spatial overlap, pair counting, information theory, distance, an...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6908998/ https://www.ncbi.nlm.nih.gov/pubmed/31871989 http://dx.doi.org/10.1016/j.dib.2019.104846 |
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author | Yang, Fei Young, Lori Yang, Yidong |
author_facet | Yang, Fei Young, Lori Yang, Yidong |
author_sort | Yang, Fei |
collection | PubMed |
description | The data presented in this article characterizes the erring patterns intrinsic to manual contouring of PET positive tumor targets in the lung from twelve quantitative agreement measuring metrics, with categories related respectively to spatial overlap, pair counting, information theory, distance, and volume. The data holds the potential for the formation of new hypotheses towards improving the accuracy and precision of manual delineation of PET positive lung targets for radiation therapy. |
format | Online Article Text |
id | pubmed-6908998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69089982019-12-23 Data for erring patterns in manual delineation of PET-imaged lung lesions Yang, Fei Young, Lori Yang, Yidong Data Brief Medicine and Dentistry The data presented in this article characterizes the erring patterns intrinsic to manual contouring of PET positive tumor targets in the lung from twelve quantitative agreement measuring metrics, with categories related respectively to spatial overlap, pair counting, information theory, distance, and volume. The data holds the potential for the formation of new hypotheses towards improving the accuracy and precision of manual delineation of PET positive lung targets for radiation therapy. Elsevier 2019-11-20 /pmc/articles/PMC6908998/ /pubmed/31871989 http://dx.doi.org/10.1016/j.dib.2019.104846 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Medicine and Dentistry Yang, Fei Young, Lori Yang, Yidong Data for erring patterns in manual delineation of PET-imaged lung lesions |
title | Data for erring patterns in manual delineation of PET-imaged lung lesions |
title_full | Data for erring patterns in manual delineation of PET-imaged lung lesions |
title_fullStr | Data for erring patterns in manual delineation of PET-imaged lung lesions |
title_full_unstemmed | Data for erring patterns in manual delineation of PET-imaged lung lesions |
title_short | Data for erring patterns in manual delineation of PET-imaged lung lesions |
title_sort | data for erring patterns in manual delineation of pet-imaged lung lesions |
topic | Medicine and Dentistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6908998/ https://www.ncbi.nlm.nih.gov/pubmed/31871989 http://dx.doi.org/10.1016/j.dib.2019.104846 |
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