Work

Radiomics and deep learning for stratification of uterine fibroid growth risk from baseline ultrasound

Year: 2026

Type: conference-paper

Study design: Observational Study

Source: SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications

DOI: 10.1117/12.3088219

Authors: Karen Drukker, Janelle Herring, Claudia Covelli Velez, Carla Harmath, Maryellen Giger, Obianuju Sandra Madueke-Laveaux

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: W7128783276

FWCI:

Cites: 10

Cited by:

Related to: 10