Research
Machine learning–based multiphase CT radiomics for differentiating hepatocellular carcinoma from hepatocellular adenoma in dogs
Nature ·
The Brief
- A machine learning study based on multiphase CT radiomics was published in Scientific Reports to differentiate hepatocellular carcinoma from hepatocellular adenoma in dogs.
- The source feed provided only the title and link; no summary, results or sample details were included in the sources.
Why it matters
It describes a potential non-invasive imaging approach to distinguish two types of canine liver tumours, which could inform veterinary diagnosis; the sources do not give performance figures.
Who’s affected
- veterinarians and veterinary radiologists
- researchers in veterinary oncology and medical imaging
- #veterinary medicine
- #radiomics
- #liver tumours
- #machine learning
- #medical imaging
Timeline
Article appeared in the nature.com subject feed
Medical research : nature.com subject feeds
Machine learning–based multiphase CT radiomics for differentiating hepatocellular carcinoma from hepatocellular adenoma in dogs