Uveal melanoma has a high propensity to metastasize. Prognosis is associated with specific driver mutations and copy number variations, and these can only be obtained after genetic testing. In this… Click to show full abstract
Uveal melanoma has a high propensity to metastasize. Prognosis is associated with specific driver mutations and copy number variations, and these can only be obtained after genetic testing. In this study we evaluated the efficacy of patient outcome prediction using deep learning on haematoxylin and eosin (HE)‐stained primary uveal melanoma slides in comparison to molecular testing.
Keywords:
deep learning;
uveal melanoma;
eosin stained;
prediction;
haematoxylin eosin
Journal Title: Histopathology
Year Published: 2024
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Journal Title: Histopathology
Year Published: 2024
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!