Cargando…
A prospective multicenter clinical research study validating the effectiveness and safety of a chest X-ray-based pulmonary tuberculosis screening software JF CXR-1 built on a convolutional neural network algorithm
BACKGROUND: Chest radiography (chest X-ray or CXR) plays an important role in the early detection of active pulmonary tuberculosis (TB). In areas with a high TB burden that require urgent screening, there is often a shortage of radiologists available to interpret the X-ray results. Computer-aided de...
Autores principales: | Yang, Yang, Xia, Lu, Liu, Ping, Yang, Fuping, Wu, Yuqing, Pan, Hongqiu, Hou, Dailun, Liu, Ning, Lu, Shuihua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463041/ https://www.ncbi.nlm.nih.gov/pubmed/37649977 http://dx.doi.org/10.3389/fmed.2023.1195451 |
Ejemplares similares
-
VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations
por: Nguyen, Ha Q., et al.
Publicado: (2022) -
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images
por: Aboutalebi, Hossein, et al.
Publicado: (2021) -
Learning from imbalanced COVID-19 chest X-ray (CXR) medical imaging data
por: Chan, Jonathan H., et al.
Publicado: (2022) -
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest X-ray Images
por: Pavlova, Maya, et al.
Publicado: (2022) -
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
por: Holste, Gregory, et al.
Publicado: (2023)