Cargando…
Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs
IMPORTANCE: The improvement of pulmonary nodule detection, which is a challenging task when using chest radiographs, may help to elevate the role of chest radiographs for the diagnosis of lung cancer. OBJECTIVE: To assess the performance of a deep learning–based nodule detection algorithm for the de...
Autores principales: | Yoo, Hyunsuk, Kim, Ki Hwan, Singh, Ramandeep, Digumarthy, Subba R., Kalra, Mannudeep K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516603/ https://www.ncbi.nlm.nih.gov/pubmed/32970157 http://dx.doi.org/10.1001/jamanetworkopen.2020.17135 |
Ejemplares similares
-
Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs
por: Hillis, James M., et al.
Publicado: (2022) -
Association of Artificial Intelligence–Aided Chest Radiograph Interpretation With Reader Performance and Efficiency
por: Ahn, Jong Seok, et al.
Publicado: (2022) -
Development and Validation of a Deep Learning–Based Synthetic Bone-Suppressed Model for Pulmonary Nodule Detection in Chest Radiographs
por: Kim, Hwiyoung, et al.
Publicado: (2023) -
An Artificial Intelligence–Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study
por: Homayounieh, Fatemeh, et al.
Publicado: (2021) -
Deep learning in chest radiography: Detection of findings and presence of change
por: Singh, Ramandeep, et al.
Publicado: (2018)