Cargando…
Deep learning assisted contrast-enhanced CT–based diagnosis of cervical lymph node metastasis of oral cancer: a retrospective study of 1466 cases
OBJECTIVES: Lymph node (LN) metastasis is a common cause of recurrence in oral cancer; however, the accuracy of distinguishing positive and negative LNs is not ideal. Here, we aimed to develop a deep learning model that can identify, locate, and distinguish LNs in contrast-enhanced CT (CECT) images...
Autores principales: | Xu, Xiaoshuai, Xi, Linlin, Wei, Lili, Wu, Luping, Xu, Yuming, Liu, Bailve, Li, Bo, Liu, Ke, Hou, Gaigai, Lin, Hao, Shao, Zhe, Su, Kehua, Shang, Zhengjun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795159/ https://www.ncbi.nlm.nih.gov/pubmed/36576543 http://dx.doi.org/10.1007/s00330-022-09355-5 |
Ejemplares similares
-
Employing deep convolutional neural networks for segmenting the medial retropharyngeal lymph nodes in CT studies of dogs
por: Schmid, David, et al.
Publicado: (2022) -
CT-based radiomics for differentiating intracranial contrast extravasation from intraparenchymal haemorrhage after mechanical thrombectomy
por: Chen, Xiaojun, et al.
Publicado: (2022) -
Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients
por: Schmitt, N., et al.
Publicado: (2021) -
Radiomics analysis based on lumbar spine CT to detect osteoporosis
por: Jiang, Yan-Wei, et al.
Publicado: (2022) -
Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network
por: Haubold, Johannes, et al.
Publicado: (2021)