Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT

Supervised deep learning has become a standard approach to solving medical image segmentation tasks. However, serious difficulties in attaining pixel-level annotations for sufficiently large volumetric datasets in real-life applications have highlighted the critical need for alternative approaches,...

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Detalles Bibliográficos
Autores principales: Hussain, Mohammad Arafat, Mirikharaji, Zahra, Momeny, Mohammad, Marhamati, Mahmoud, Neshat, Ali Asghar, Garbi, Rafeef, Hamarneh, Ghassan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540707/
https://www.ncbi.nlm.nih.gov/pubmed/36257092
http://dx.doi.org/10.1016/j.compmedimag.2022.102127

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540707/
https://www.ncbi.nlm.nih.gov/pubmed/36257092
http://dx.doi.org/10.1016/j.compmedimag.2022.102127

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