Work

A radiomics-based model for the outcome prediction in COVID-19 positive patients through deep learning with both longitudinal chest x-ray and chest computed tomography images

Year: 2023

Type: conference-paper

Study design: Observational Study

Source: SPIE Medical Imaging: Computer-Aided Diagnosis

DOI: 10.1117/12.2655506

Authors: Chunrui Zou, Walter Mankowski, Lauren Pantalone, Shefali Setia Verma, Eduardo J. Mortani Barbosa, Tessa S. Cook, Peter B. Noel, Erica L. Carpenter, Jeffrey C. Thompson, Russell T. Shinohara, Sharyn I. Katz, Despina Kontos

Institution: University of Pennsylvania

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: closed

OpenAlex ID: W4362673910

FWCI:

Cites: 17

Cited by:

Related to: 10