← all works
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Abstract
No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
The record
- Venue
- Nature Communications
- Topic
- Radiomics and Machine Learning in Medical Imaging
- Field
- Medicine
- Canadian institutions
- University of TorontoUniversity Health NetworkPrincess Margaret Cancer Centre
- Funders
- InterregNational Cancer InstituteNational Institutes of HealthInnovative Medicines InitiativeEuropean Federation of Pharmaceutical Industries and AssociationsCenter for Translational Molecular MedicineKWF Kankerbestrijding
- Keywords
- RadiomicsRadiogenomicsLung cancerMedicineHead and neck cancerPhenotypeHead and neckMedical imagingCancerPathologyRadiologyBioinformaticsGeneBiologyInternal medicineSurgery
- Has abstract in OpenAlex
- no