CoSinGAN: Learning COVID-19 Infection Segmentation from a Single Radiological Image

Computed tomography (CT) images are currently being adopted as the visual evidence for COVID-19 diagnosis in clinical practice. Automated detection of COVID-19 infection from CT images based on deep models is important for faster examination. Unfortunately, collecting large-scale training data syste...

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Detalles Bibliográficos
Autores principales: Zhang, Pengyi, Zhong, Yunxin, Deng, Yulin, Tang, Xiaoying, Li, Xiaoqiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7693680/
https://www.ncbi.nlm.nih.gov/pubmed/33153105
http://dx.doi.org/10.3390/diagnostics10110901

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7693680/
https://www.ncbi.nlm.nih.gov/pubmed/33153105
http://dx.doi.org/10.3390/diagnostics10110901

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