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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...

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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

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