ArticleIEEE transactions on medical imaging2017
Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior.
Article in IEEE transactions on medical imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Automated Segmentation of Tissues Using CT and MRI: A Systematic Review.Academic radiology · 2019Pooled it
- Deep-learning based quantitative evaluation of postoperative atelectasis following right upper lobectomy.NPJ digital medicine · 2026Article
- LobePrior segments lung lobes on computed tomography images in the presence of severe abnormalities.Scientific reports · 2026Article
- Lung vessel connectivity map as anatomical prior knowledge for deep learning-based lung lobe segmentation.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- A 2D-3D hybrid convolutional neural network for lung lobe auto-segmentation on standard slice thickness computed tomography of patients receiving radiotherapy.Biomedical engineering online · 2021Article
- Automated labeling of the airway tree in terms of lobes based on deep learning of bifurcation point detection.Medical & biological engineering & computing · 2020Article
- Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans.IEEE transactions on medical imaging · 2020Article
- An Efficient Method for the Detection of Oblique Fissures from Computed Tomography images of Lungs.Journal of medical systems · 2019Article
- Pulmonary lobe separation in expiration chest CT scans based on subject-specific priors derived from inspiration scans.Journal of medical imaging (Bellingham, Wash.) · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
A fully automated, unsupervised lobe segmentation algorithm is presented based on a probabilistic segmentation of the fissures and the simultaneous construction of a populationmodel of the fissures. A two-class probabilistic segmentation segments the lung into candidate fissure voxels and the surrounding parenchyma. This was combined with anatomical information and a groupwise fissure prior to drive non-parametric surface fitting to obtain the final segmentation. The performance of our fissure segmentation was validated on 30 patients from the chronic obstructive pulmonary disease COPDGene cohort, achieving a high median F
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Registered trials
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