Tomography
Imaging in Cancer Diagnosis: Consolidating Progress and Charting the Next Steps
By Giovanni Sussan and Filippo Crimì.
Abstract
When this Special Issue opened in January 2024, its premise was straightforward but ambitious: imaging had moved well beyond a gatekeeping role ahead of biopsy, and the structural, functional, and metabolic data extracted from ultrasound, CT, MRI, and PET were becoming primary evidence in their own right, with artificial intelligence poised to expand what could be read from them [...]
Keywords
- Radiomics and Machine Learning in Medical Imaging
- Premise
- Gatekeeping
- Medical imaging
- Cancer
- MEDLINE
- Open access
Source
Published in Tomography. The abstract is shown as published and remains the work of its authors; read the full article at the source.
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