SDA-UNet: a hepatic vein segmentation network based on the spatial distribution and density awareness of blood vessels
出版年份 2023 全文链接
标题
SDA-UNet: a hepatic vein segmentation network based on the spatial distribution and density awareness of blood vessels
作者
关键词
-
出版物
PHYSICS IN MEDICINE AND BIOLOGY
Volume 68, Issue 3, Pages 035009
出版商
IOP Publishing
发表日期
2023-01-10
DOI
10.1088/1361-6560/acb199
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- DNL-Net: deformed non-local neural network for blood vessel segmentation
- (2022) Jiajia Ni et al. BMC MEDICAL IMAGING
- 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
- The Liver Tumor Segmentation Benchmark (LiTS)
- (2022) Patrick Bilic et al. MEDICAL IMAGE ANALYSIS
- 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
- Mixed 2D and 3D convolutional network with multi-scale context for lesion segmentation in breast DCE-MRI
- (2021) Hongyu Wang et al. Biomedical Signal Processing and Control
- Liver tumor segmentation using 2.5D UV-Net with multi-scale convolution
- (2021) Chi Zhang et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Fully automated segmentation of brain tumor from multiparametric MRI using 3D context deep supervised U‐Net
- (2021) Mingquan Lin et al. MEDICAL PHYSICS
- Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images
- (2021) Linyan Gu et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function
- (2021) Jun Su et al. KNOWLEDGE-BASED SYSTEMS
- DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation
- (2021) Ziyuan Zhao et al. IEEE Journal of Biomedical and Health Informatics
- Sequential vessel segmentation via deep channel attention network
- (2020) Dongdong Hao et al. NEURAL NETWORKS
- Prostate lesion segmentation in MR images using radiomics based deeply supervised U-Net
- (2020) Praful Hambarde et al. Biocybernetics and Biomedical Engineering
- 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
- SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation
- (2020) Shumao Pang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Efficient and Robust Instrument Segmentation in 3D Ultrasound Using Patch-of-Interest-FuseNet with Hybrid Loss
- (2020) Hongxu Yang et al. MEDICAL IMAGE ANALYSIS
- nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
- (2020) Fabian Isensee et al. NATURE METHODS
- Multi-Scale Self-Guided Attention for Medical Image Segmentation
- (2020) Ashish Sinha et al. IEEE Journal of Biomedical and Health Informatics
- CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
- (2020) Ran Gu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Inter-Slice Context Residual Learning for 3D Medical Image Segmentation
- (2020) Jianpeng Zhang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deeply-supervised density regression for automatic cell counting in microscopy images
- (2020) Shenghua He et al. MEDICAL IMAGE ANALYSIS
- Attention gated networks: Learning to leverage salient regions in medical images
- (2019) Jo Schlemper et al. MEDICAL IMAGE ANALYSIS
- VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation
- (2019) Titinunt Kitrungrotsakul et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Learning Cascade Attention for fine-grained image classification
- (2019) Youxiang Zhu et al. NEURAL NETWORKS
- Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound
- (2019) Yi Wang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
- (2019) Zongwei Zhou et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Robust liver vessel extraction using 3D U-Net with variant dice loss function
- (2018) Qing Huang et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Accurate liver vessel segmentation via active contour model with dense vessel candidates
- (2018) Minyoung Chung et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Hepatic vessel segmentation using variational level set combined with non-local robust statistics
- (2017) Siyu Lu et al. MAGNETIC RESONANCE IMAGING
- Liver Vessels Segmentation Using a Hybrid Geometrical Moments/Graph Cuts Method
- (2009) S. Esneault et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started