Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images

Segmentation of infections from CT scans is important for accurate diagnosis and follow-up in tackling the COVID-19. Although the convolutional neural network has great potential to automate the segmentation task, most existing deep learning-based infection segmentation methods require fully annotat...

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Detalles Bibliográficos
Autores principales: Liu, Xiaoming, Yuan, Quan, Gao, Yaozong, He, Kelei, Wang, Shuo, Tang, Xiao, Tang, Jinshan, Shen, Dinggang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452156/
https://www.ncbi.nlm.nih.gov/pubmed/34565913
http://dx.doi.org/10.1016/j.patcog.2021.108341

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452156/
https://www.ncbi.nlm.nih.gov/pubmed/34565913
http://dx.doi.org/10.1016/j.patcog.2021.108341

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