Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs

IMPORTANCE: Interpretation of chest radiographs is a challenging task prone to errors, requiring expert readers. An automated system that can accurately classify chest radiographs may help streamline the clinical workflow. OBJECTIVES: To develop a deep learning–based algorithm that can classify norm...

Description complète

Enregistré dans:
Détails bibliographiques
Publié dans:JAMA Netw Open
Auteurs principaux: Hwang, Eui Jin, Park, Sunggyun, Jin, Kwang-Nam, Kim, Jung Im, Choi, So Young, Lee, Jong Hyuk, Goo, Jin Mo, Aum, Jaehong, Yim, Jae-Joon, Cohen, Julien G., Ferretti, Gilbert R., Park, Chang Min
Format: Artigo
Langue:Inglês
Publié: American Medical Association 2019
Sujets:
Original Investigation
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6583308/
https://ncbi.nlm.nih.gov/pubmed/30901052
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2019.1095
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires