COLI‐Net: Deep learning‐assisted fully automated COVID‐19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images

We present a deep learning (DL)‐based automated whole lung and COVID‐19 pneumonia infectious lesions (COLI‐Net) detection and segmentation from chest computed tomography (CT) images. This multicenter/multiscanner study involved 2368 (347′259 2D slices) and 190 (17 341 2D slices) volumetric CT exams...

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Detalles Bibliográficos
Autores principales: Shiri, Isaac, Arabi, Hossein, Salimi, Yazdan, Sanaat, Amirhossein, Akhavanallaf, Azadeh, Hajianfar, Ghasem, Askari, Dariush, Moradi, Shakiba, Mansouri, Zahra, Pakbin, Masoumeh, Sandoughdaran, Saleh, Abdollahi, Hamid, Radmard, Amir Reza, Rezaei‐Kalantari, Kiara, Ghelich Oghli, Mostafa, Zaidi, Habib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8652855/
https://www.ncbi.nlm.nih.gov/pubmed/34898850
http://dx.doi.org/10.1002/ima.22672

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8652855/
https://www.ncbi.nlm.nih.gov/pubmed/34898850
http://dx.doi.org/10.1002/ima.22672

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