MA02.13 Deep Learning-Based Multiomic Model for Lung Cancer Diagnosis
Rapid identification of lung cancer from indeterminate pulmonary lesions (IPLs) and avoiding unnecessary invasive biopsies in patients with benign diseases are equally desirable outcomes that are often at odds with one another. A multi-omics deep learning model (RadmC) was proposed in our study to facilitate these outcomes.
Authors
- Miao Zhao (ORCID: https://orcid.org/0000-0002-4895-1177)
- Yuanbin She (ORCID: https://orcid.org/0000-0002-1007-1852)
Publication Details
- Journal
- Journal of Thoracic Oncology
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1016/j.jtho.2024.09.108
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00