A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation

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