2024
MICCAI
MICCAI 2024
MultiVarNet - Predicting Tumour Mutational status at the Protein Level
Abstract
Deep learning research in medical image analysis demonstrated the capability of predicting molecular information, including tumour mutational status, from cell and tissue morphology extracted from standard histology images. While this capability holds the promise of revolutionising pathology, it is of critical importance to go beyond gene-level mutations and develop methodologies capable of predicting precise variant mutations. Only then will it be possible to support important clinical applications, including specific targeted therapies.
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Conference Pioneer
- MICCAI 2024