Bone age determination using only the index finger: a novel approach using a convolutional neural network compared with human radiologists.

Journal: Pediatric radiology

Published Date: Apr 1, 2020

BACKGROUND: Recently developed convolutional neural network (CNN) models determine bone age more accurately than radiologists.

Nakul E Reddy

Interventional Radiology,, MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1471, Houston, TX, 77030, USA. nreddy3@fastmail.com.
Jesse C Rayan

Division of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital,, Boston, MA, USA.
Ananth V Annapragada

E.B. Singleton Department of Pediatric Radiology,, Texas Children's Hospital,, Houston, TX, USA.
Nadia F Mahmood

E.B. Singleton Department of Pediatric Radiology,, Texas Children's Hospital,, Houston, TX, USA.
Alan E Scheslinger

E.B. Singleton Department of Pediatric Radiology,, Texas Children's Hospital,, Houston, TX, USA.
Wei Zhang

The First Affiliated Hospital of Nanchang University, Nanchang, China.
J Herman Kan

E.B. Singleton Department of Pediatric Radiology,, Texas Children's Hospital,, Houston, TX, USA.

Adolescent Age Determination by Skeleton Child Child, Preschool Datasets as Topic Female Finger Phalanges Humans Image Processing, Computer-Assisted Infant Male Neural Networks, Computer Retrospective Studies

View on PubMed Access via DOI PubMed (31863193)