Development and Validation of a Deep Learning–Based Synthetic Bone-Suppressed Model for Pulmonary Nodule Detection in Chest Radiographs

IMPORTANCE: Dual-energy chest radiography exhibits better sensitivity than single-energy chest radiography, partly due to its ability to remove overlying anatomical structures. OBJECTIVES: To develop and validate a deep learning–based synthetic bone-suppressed (DLBS) nodule-detection algorithm for p...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Hwiyoung, Lee, Kye Ho, Han, Kyunghwa, Lee, Ji Won, Kim, Jin Young, Im, Dong Jin, Hong, Yoo Jin, Choi, Byoung Wook, Hur, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890286/
https://www.ncbi.nlm.nih.gov/pubmed/36719681
http://dx.doi.org/10.1001/jamanetworkopen.2022.53820

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890286/
https://www.ncbi.nlm.nih.gov/pubmed/36719681
http://dx.doi.org/10.1001/jamanetworkopen.2022.53820

Ejemplares similares