Title: Assessing radiomic feature robustness to interpolation in 18F-FDG PET imaging - data

Citation
Whybra P, Parkinson C, Foley K, et al. (2019). Assessing radiomic feature robustness to interpolation in 18F-FDG PET imaging - data. Cardiff University. http://doi.org/10.17035/d.2019.0078762440


Access Rights: Data is provided under a Creative Commons Attribution (CC BY 4.0) licence
Access Method: Click to email a request for this data to opendata@cardiff.ac.uk

Dataset Details
Publisher: Cardiff University
Date (year) of data becoming publicly available: 2019
Data format: .csv
Estimated total storage size of dataset: Less than 100 megabytes
Number of Files In Dataset: 24
DOI: 10.17035/d.2019.0078762440

Description

A set of feature extraction results used to assess feature robustness to interpolation in 18F-FDG PET imaging. Morphological, first-order, and texture features (n=141), were extracted from segmented tumour volumes. Patients had biopsy-proven oesophageal cancer and had undergone PET/CT imaging as part of staging. Data is from 441 patients, split (80%/20%) into testing (n=353) and validation (n=88) dataset. Both linear and spline interpolation methods were explored. Features were extracted after interpolation to 6 different isotropic voxel sizes (1.5mm, 1.8mm, 2.0mm, 2.2mm, 2.5mm, 2.7mm). Each csv file relates to a specific interpolation method, dataset type (testing or validation), and voxel size.

Research results using this data published at DOI: 10.1038/s41598-019-46030-0

Supplementary materials with feature list and criteria available at DOI: 10.1038/s41598-019-46030-0.


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Last updated on 2020-15-12 at 10:07