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Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning

10 May 2019

Abstract excerpt

To develop a deep learning system based on 3D convolutional neural networks (CNNs), and to automatically predict EGFR-mutant pulmonary adenocarcinoma in CT images. A dataset of 579 nodules with EGFR mutation status labels of mutant (Mut) or wild-type (WT) was retrospectively analyzed. A deep learning system, namely 3D DenseNets, was developed to process 3D patches of nodules from CT data, and learn strong...

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PMID: 31074592
DOI: 10.1002/cam4.2233

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