Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism

Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism

Abstract Background A novel multi-level pyramidal pooling residual U-Net with adversarial mechanism was proposed for organ segmentation from medical imaging, and was conducted on the challenging NIH Pancreas-CT dataset. Methods The 82 pancreatic contrast-enhanced abdominal CT volumes were split via...

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Bibliographic Details
Main Authors: Meiyu Li, Fenghui Lian, Chunyu Wang, Shuxu Guo
Format: Article
Language:English
Published: BMC 2021-11-01
Series:BMC Medical Imaging
Subjects:
Residual learning
Multi-level pyramidal pooling module
Adversarial mechanism
Pancreas segmentation
Online Access:https://doi.org/10.1186/s12880-021-00694-1

Internet

https://doi.org/10.1186/s12880-021-00694-1

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