A Fissure-Aided Registration Approach for Automatic Pulmonary Lobe Segmentation Using Deep Learning

The segmentation of pulmonary lobes is important in clinical assessment, lesion location, and surgical planning. Automatic lobe segmentation is challenging, mainly due to the incomplete fissures or the morphological variation resulting from lung disease. In this work, we propose a learning-based app...

Descripción completa

Detalles Bibliográficos
Autores principales: Xue, Mengfan, Han, Lu, Song, Yiran, Rao, Fan, Peng, Dongliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656539/
https://www.ncbi.nlm.nih.gov/pubmed/36366258
http://dx.doi.org/10.3390/s22218560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656539/
https://www.ncbi.nlm.nih.gov/pubmed/36366258
http://dx.doi.org/10.3390/s22218560

Ejemplares similares