"A radiomics-based model for the outcome prediction in COVID-19 positive ..."

Chunrui Zou et al. (2023)

> Home

Details and statistics

DOI: 10.1117/12.2655506

access: closed

type: Conference or Workshop Paper

metadata version: 2024-08-04

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/micad/ZouMPVBCNCTSKK23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/micad/ZouMPVBCNCTSKK23
Chunrui Zou, Walter C. Mankowski, Lauren Pantalone, Shefali Setia Verma, Eduardo Jose Mortani Barbosa Jr., Tessa S. Cook, Peter B. Noël, Erica L. Carpenter, Jeffrey C. Thompson, Russell T. Shinohara, Sharyn Katz, Despina Kontos:
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. Medical Imaging: Computer-Aided Diagnosis 2023

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.