Machine Learning for Hepatocellular Carcinoma Segmentation at MRI: <i>Radiology</i> In Training.
case_report · Level V
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- Record sourced from PubMed, PMID 35536132.
- Also identified by DOI 10.1148/radiol.212386.
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Abstract
A 68-year-old woman with a history of hepatocellular carcinoma underwent conventional transarterial chemoembolization. Manual tumor segmentation on images, which can be used to assess disease progression, is time consuming and may suffer from interobserver reliability issues. The authors present a how-to guide to develop machine learning algorithms for fully automatic segmentation of hepatocellular carcinoma and other tumors for lesion tracking over time.
Medical subject headings
- Carcinoma, Hepatocellular
- Chemoembolization, Therapeutic
- Liver Neoplasms
- Radiology