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On the way for the best imaging features from CT images to predict EGFR Mutation Status in Lung Cancer.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference - 1 Jul 2022

Silva Pedro, Pereira Tania, Teixeira Marco, Silva Francisco, Oliveira Helder P

Abstract excerpt

Artificial Intelligence-based tools have shown promising results to help clinicians in diagnosis tasks. Radio-genomics would aid in the genotype characterization using information from radiologic images. The prediction of the mutations status of main oncogenes associated with lung cancer will help the clinicians to have a more accurate diagnosis and a personalized treatment plan, decreasing the need to use the...

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PMID: 36085894
DOI: 10.1109/EMBC48229.2022.9871911

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