The Biological Meaning of Radiomic Features
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Sophisticated imaging analysis can reveal the link between subtle radiological phenotypes and specific aspects of the underlying pathobiology, including the TME.
“Sophisticated imaging analysis can reveal the link between subtle radiological phenotypes and specific aspects of the underlying pathobiology including the TME.11”
From Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics (2023) · cites this paper as [11]
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References 95 · Cited by 327
- Authors
- Tomaszewski, M. R., & Gillies, R. J.
- Venue
- Radiology
- Published
- 2021-05
- Volume
- 299
- Issue
- 2
- Pages
- E256-E256
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- PMC
- PMC8906340
- OpenAlex
- W3118247837
- Cited by
- 327
- References
- 95
- Citations by year
- 2026: 18 · 2025: 68 · 2024: 70 · 2023: 79 · 2022: 56 · 2021: 34 · 2020: 2
- FWCI
- 31.84
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Radiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Keywords
- radiomic features, biological interpretation, quantitative imaging, tumor biology, radiogenomics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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