Cargando…
Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks
The number of images taken per patient scan has rapidly increased due to advances in software, hardware and digital imaging in the medical domain. There is the need for medical image annotation systems that are accurate as manual annotation is impractical, time-consuming and prone to errors. This pa...
Autores principales: | Pelka, Obioma, Nensa, Felix, Friedrich, Christoph M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231616/ https://www.ncbi.nlm.nih.gov/pubmed/30419028 http://dx.doi.org/10.1371/journal.pone.0206229 |
Ejemplares similares
-
Ossification area localization in pediatric hand radiographs using deep neural networks for object detection
por: Koitka, Sven, et al.
Publicado: (2018) -
Medical Image Retrieval Using Empirical Mode Decomposition with Deep Convolutional Neural Network
por: Zhang, Shaomin, et al.
Publicado: (2020) -
Sociodemographic data and APOE-ε4 augmentation for MRI-based detection of amnestic mild cognitive impairment using deep learning systems
por: Pelka, Obioma, et al.
Publicado: (2020) -
High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks
por: Rajkomar, Alvin, et al.
Publicado: (2016) -
Classification of racehorse limb radiographs using deep convolutional neural networks
por: Costa da Silva, Raniere Gaia, et al.
Publicado: (2023)