Work

MA02.13 Deep Learning-Based Multiomic Model for Lung Cancer Diagnosis

Year: 2024

Type: conference-abstract

Abstract: 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.

Source: Journal of Thoracic Oncology

DOI: 10.1016/j.jtho.2024.09.108

Authors: M. Zhao, Y. She

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $4,000

OpenAlex ID: W4403410308

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