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Data for erring patterns in manual delineation of PET-imaged lung lesions
Journal article   Open access  Peer reviewed

Data for erring patterns in manual delineation of PET-imaged lung lesions

Fei Yang, Lori Young and Yidong Yang
Data in brief, Vol.28, pp.104846-104846
2020-02
PMCID: PMC6908998
PMID: 31871989

Abstract

Lung cancer Quantitative PET Segmentation evaluation Target delineation
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.
url
https://doi.org/10.1016/j.dib.2019.104846View
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