Work

Prediction of kidney function decline in patients with autosomal dominant polycystic kidney disease using radiomic features extracted from the non-cystic kidney parenchyma

Year: 2025

Type: conference-paper

Study design: Observational Study

Source: SPIE Medical Imaging: Computer-Aided Diagnosis

DOI: 10.1117/12.3047398

Authors: Linnea E. Kremer, Erick L. Figueroa, Ravi Mangar, Mitchell Velasco, Adam Starkey, Arlene B. Chapman, Samuel G. Armato

Institution: University of Chicago

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: W4409152219

FWCI: 2.938

Cites: 14

Cited by: 1

Related to: 10