A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation
Authors
Keywords
-
Journal
IEEE Journal of Biomedical and Health Informatics
Volume 27, Issue 10, Pages 4878-4889
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2023-08-17
DOI
10.1109/jbhi.2023.3305644
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- SDA-UNet: a hepatic vein segmentation network based on the spatial distribution and density awareness of blood vessels
- (2023) Guoyu Tong et al. PHYSICS IN MEDICINE AND BIOLOGY
- A Lightweight Network for Accurate Coronary Artery Segmentation Using X-Ray Angiograms
- (2022) Xingxiang Tao et al. Frontiers in Public Health
- CubeNet: X-shape connection for camouflaged object detection
- (2022) Mingchen Zhuge et al. PATTERN RECOGNITION
- The Medical Segmentation Decathlon
- (2022) Michela Antonelli et al. Nature Communications
- DNL-Net: deformed non-local neural network for blood vessel segmentation
- (2022) Jiajia Ni et al. BMC MEDICAL IMAGING
- Hepatic Vein and Arterial Vessel Segmentation in Liver Tumor Patients
- (2022) Haopeng Kuang et al. Computational Intelligence and Neuroscience
- A multi-scale interactive U-Net for pulmonary vessel segmentation method based on transfer learning
- (2022) Rencheng Wu et al. Biomedical Signal Processing and Control
- RADCU-Net: residual attention and dual-supervision cascaded U-Net for retinal blood vessel segmentation
- (2022) Yong Yang et al. International Journal of Machine Learning and Cybernetics
- Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
- (2021) Hyuna Sung et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Interactive contouring through contextual deep learning
- (2021) Michael J. Trimpl et al. MEDICAL PHYSICS
- DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function
- (2021) Jun Su et al. KNOWLEDGE-BASED SYSTEMS
- Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation
- (2021) Chenxin Li et al. NEURAL COMPUTING & APPLICATIONS
- 3D Graph-Connectivity Constrained Network for Hepatic Vessel Segmentation
- (2021) Ruikun Li et al. IEEE Journal of Biomedical and Health Informatics
- Sequential vessel segmentation via deep channel attention network
- (2020) Dongdong Hao et al. NEURAL NETWORKS
- CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
- (2020) Lei Mou et al. MEDICAL IMAGE ANALYSIS
- Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network
- (2020) Shuxin Wang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
- (2020) Fabian Isensee et al. NATURE METHODS
- Group Normalization
- (2019) Yuxin Wu et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Anatomy of the liver: An outline with three levels of complexity – A further step towards tailored territorial liver resections
- (2013) Pietro Majno et al. JOURNAL OF HEPATOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now