nmPLS-Net: Segmenting Pulmonary Lobes Using nmODE
Pulmonary lobe segmentation is vital for clinical diagnosis and treatment. Deep neural network-based pulmonary lobe segmentation methods have seen rapid development. However, there are challenges that remain, e.g., pulmonary fissures are always not clear or incomplete, especially in the complex situ...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/22/4675 |
| _version_ | 1797458541930348544 |
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| author | Peizhi Dong Hao Niu Zhang Yi Xiuyuan Xu |
| author_facet | Peizhi Dong Hao Niu Zhang Yi Xiuyuan Xu |
| author_sort | Peizhi Dong |
| collection | DOAJ |
| description | Pulmonary lobe segmentation is vital for clinical diagnosis and treatment. Deep neural network-based pulmonary lobe segmentation methods have seen rapid development. However, there are challenges that remain, e.g., pulmonary fissures are always not clear or incomplete, especially in the complex situation of the trilobed right pulmonary, which leads to relatively poor results. To address this issue, this study proposes a novel method, called nmPLS-Net, to segment pulmonary lobes effectively using nmODE. Benefiting from its nonlinear and memory capacity, we construct an encoding network based on nmODE to extract features of the entire lung and dependencies between features. Then, we build a decoding network based on edge segmentation, which segments pulmonary lobes and focuses on effectively detecting pulmonary fissures. The experimental results on two datasets demonstrate that the proposed method achieves accurate pulmonary lobe segmentation. |
| first_indexed | 2024-03-09T16:38:37Z |
| format | Article |
| id | doaj.art-d5aae45edbd0446ebc433f1ad58e9adb |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T16:38:37Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-d5aae45edbd0446ebc433f1ad58e9adb2023-11-24T14:54:27ZengMDPI AGMathematics2227-73902023-11-011122467510.3390/math11224675nmPLS-Net: Segmenting Pulmonary Lobes Using nmODEPeizhi Dong0Hao Niu1Zhang Yi2Xiuyuan Xu3College of Computer Science, Sichuan University, Chengdu 610065, ChinaCollege of Computer Science, Sichuan University, Chengdu 610065, ChinaCollege of Computer Science, Sichuan University, Chengdu 610065, ChinaCollege of Computer Science, Sichuan University, Chengdu 610065, ChinaPulmonary lobe segmentation is vital for clinical diagnosis and treatment. Deep neural network-based pulmonary lobe segmentation methods have seen rapid development. However, there are challenges that remain, e.g., pulmonary fissures are always not clear or incomplete, especially in the complex situation of the trilobed right pulmonary, which leads to relatively poor results. To address this issue, this study proposes a novel method, called nmPLS-Net, to segment pulmonary lobes effectively using nmODE. Benefiting from its nonlinear and memory capacity, we construct an encoding network based on nmODE to extract features of the entire lung and dependencies between features. Then, we build a decoding network based on edge segmentation, which segments pulmonary lobes and focuses on effectively detecting pulmonary fissures. The experimental results on two datasets demonstrate that the proposed method achieves accurate pulmonary lobe segmentation.https://www.mdpi.com/2227-7390/11/22/4675pulmonary lobe segmentationneural memory ordinary differential equationmulti-task learning |
| spellingShingle | Peizhi Dong Hao Niu Zhang Yi Xiuyuan Xu nmPLS-Net: Segmenting Pulmonary Lobes Using nmODE Mathematics pulmonary lobe segmentation neural memory ordinary differential equation multi-task learning |
| title | nmPLS-Net: Segmenting Pulmonary Lobes Using nmODE |
| title_full | nmPLS-Net: Segmenting Pulmonary Lobes Using nmODE |
| title_fullStr | nmPLS-Net: Segmenting Pulmonary Lobes Using nmODE |
| title_full_unstemmed | nmPLS-Net: Segmenting Pulmonary Lobes Using nmODE |
| title_short | nmPLS-Net: Segmenting Pulmonary Lobes Using nmODE |
| title_sort | nmpls net segmenting pulmonary lobes using nmode |
| topic | pulmonary lobe segmentation neural memory ordinary differential equation multi-task learning |
| url | https://www.mdpi.com/2227-7390/11/22/4675 |
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