Deep learning HRNet FCN for blood vessel identification in laparoscopic pancreatic surgery
Abstract Laparoscopic pancreatic surgery remains highly challenging due to the complexity of the pancreas and surrounding vascular structures, with risk of injuring critical blood vessels such as the Superior Mesenteric Vein (SMV)-Portal Vein (PV) axis and splenic vein. Here, we evaluated the High R...
Saved in:
| Main Authors: | Jile Shi, Ruohan Cui, Zhihong Wang, Qi Yan, Lu Ping, Hu Zhou, Junyi Gao, Chihua Fang, Xianlin Han, Surong Hua, Wenming Wu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
|
| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01663-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fall Detection Algorithm Using Enhanced HRNet Combined with YOLO
by: Huan Shi, et al.
Published: (2025-07-01) -
Optimizing FCN for devices with limited resources using quantization and sparsity enhancement
by: Muhammad Faizan-Khan, et al.
Published: (2025-08-01) -
SCite‐HRNet: A self‐calibrating efficient network for pose estimation
by: Nan Xiang, et al.
Published: (2024-12-01) -
SP-HRNet: single-path neural architecture search for human pose estimation
by: Mengyu Sun, et al.
Published: (2025-06-01) -
Classification of landscape architecture design based on dual-channel attention improved FCN
by: Zhongyu Zhou
Published: (2025-12-01)