Accurate segmentation for different types of lung nodules on CT images using improved U-Net convolutional network

Since lung nodules on computed tomography images can have different shapes, contours, textures or locations and may be attached to neighboring blood vessels or pleural surfaces, accurate segmentation is still challenging. In this study, we propose an accurate segmentation method based on an improved...

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Detalles Bibliográficos
Autores principales: Zhang, Xiaofang, Liu, Xiaomin, Zhang, Bin, Dong, Jie, Zhao, Shujun, Li, Suxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
6800
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8500581/
https://www.ncbi.nlm.nih.gov/pubmed/34622882
http://dx.doi.org/10.1097/MD.0000000000027491

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8500581/
https://www.ncbi.nlm.nih.gov/pubmed/34622882
http://dx.doi.org/10.1097/MD.0000000000027491

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