A Radiogenomics Pipeline for Lung Nodules Segmentation and Prediction of EGFR Mutation Status from CT Scans. (arXiv:2211.06620v1 [eess.IV])

Lung cancer is a leading cause of death worldwide. Early-stage detection of
lung cancer is essential for a more favorable prognosis. Radiogenomics is an
emerging discipline that combines medical imaging and genomics features for
modeling patient outcomes non-invasively. This study presents a radiogenomics
pipeline that has: 1) a novel mixed architecture (RA-Seg) to segment lung
cancer through attention and recurrent blocks; and 2) deep feature classifiers
to distinguish Epidermal Growth Factor Receptor (EGFR) mutation status. We
evaluate the proposed algorithm …

arxiv mutation pipeline prediction segmentation