Assessing radiomic feature robustness to interpolation in 18F-FDG PET imaging
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 12 - Engineering
- Output identifier
- 96254344
- Type
- D - Journal article
- DOI
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10.1038/s41598-019-46030-0
- Title of journal
- Scientific Reports
- Article number
- 9649
- First page
- -
- Volume
- 9
- Issue
- 1
- ISSN
- 2045-2322
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2019
- URL
-
http://dx.doi.org/10.1038/s41598-019-46030-0
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work publishes one of the top-4 best applications for radiomic analysis in the world, as confirmed by OncoRay- Center for Radiation Research in Oncology, Dresden, Germany, Radiology doi: 10.1148/radiol.2020191145 (fig 3). Based on this work, Cardiff was invited to join an initiative for the development of new "Standardised convolutional filtering for Radiomics" (https://theibsi.github.io/contact), attracting industrial interest and an agreement between Cardiff University and MIM Software Inc. (Cleveland) for the evaluation of a SPAARC extension of MIMVista. Worldwide evaluation starts 01.02.2021 (Bioclinica-Princeton, Stony-Brook-Medicine-NewYork, MSKCC-NewYork, S.Raffaele Hospita -Milan, Kings College Hospital London).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -