Semi-Supervised Segmentation of Interstitial Lung Disease Patterns from CT Images via Self-Training with Selective Re-Training

Accurate segmentation of interstitial lung disease (ILD) patterns from computed tomography (CT) images is an essential prerequisite to treatment and follow-up. However, it is highly time-consuming for radiologists to pixel-by-pixel segment ILD patterns from CT scans with hundreds of slices. Conseque...

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Detalles Bibliográficos
Autores principales: Cai, Guang-Wei, Liu, Yun-Bi, Feng, Qian-Jin, Liang, Rui-Hong, Zeng, Qing-Si, Deng, Yu, Yang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375953/
https://www.ncbi.nlm.nih.gov/pubmed/37508857
http://dx.doi.org/10.3390/bioengineering10070830

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375953/
https://www.ncbi.nlm.nih.gov/pubmed/37508857
http://dx.doi.org/10.3390/bioengineering10070830

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