CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging
Automated detection of curvilinear structures, eg, blood vessels or nerve fibres, from medical
and biomedical images is a crucial early step in automatic image interpretation associated to …
and biomedical images is a crucial early step in automatic image interpretation associated to …
Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney
Automated blood vessel segmentation is critical for biomedical image analysis, as vessel
morphology changes are associated with numerous pathologies. Still, precise segmentation …
morphology changes are associated with numerous pathologies. Still, precise segmentation …
3D vessel-like structure segmentation in medical images by an edge-reinforced network
The vessel-like structure in biomedical images, such as within cerebrovascular and nervous
pathologies, is an essential biomarker in understanding diseases' mechanisms and in …
pathologies, is an essential biomarker in understanding diseases' mechanisms and in …
Generative consistency for semi-supervised cerebrovascular segmentation from TOF-MRA
Cerebrovascular segmentation from Time-of-flight magnetic resonance angiography (TOF-
MRA) is a critical step in computer-aided diagnosis. In recent years, deep learning models …
MRA) is a critical step in computer-aided diagnosis. In recent years, deep learning models …
A novel multi-attention, multi-scale 3D deep network for coronary artery segmentation
Automatic segmentation of coronary arteries provides vital assistance to enable accurate
and efficient diagnosis and evaluation of coronary artery disease (CAD). However, the task …
and efficient diagnosis and evaluation of coronary artery disease (CAD). However, the task …
Deep Learning for 3D Vascular Segmentation in Phase Contrast Tomography
Automated blood vessel segmentation is critical for biomedical image analysis, as vessel
morphology changes are associated with numerous pathologies. Still, precise segmentation …
morphology changes are associated with numerous pathologies. Still, precise segmentation …
A multi-scale interactive U-Net for pulmonary vessel segmentation method based on transfer learning
R Wu, Y **n, J Qian, Y Dong - Biomedical Signal Processing and Control, 2023 - Elsevier
Pulmonary vessel segmentation is the key application of AI in lung disease diagnosis and
surgical planning. Compared with manual labeling, automatic labeling of pulmonary vessels …
surgical planning. Compared with manual labeling, automatic labeling of pulmonary vessels …
Attention-assisted adversarial model for cerebrovascular segmentation in 3D TOF-MRA volumes
Cerebrovascular segmentation in time-of-flight magnetic resonance angiography (TOF-
MRA) volumes is essential for a variety of diagnostic and analytical applications. However …
MRA) volumes is essential for a variety of diagnostic and analytical applications. However …
Using deep learning for an automatic detection and classification of the vascular bifurcations along the Circle of Willis
Most of the intracranial aneurysms (ICA) occur on a specific portion of the cerebral vascular
tree named the Circle of Willis (CoW). More particularly, they mainly arise onto fifteen of the …
tree named the Circle of Willis (CoW). More particularly, they mainly arise onto fifteen of the …
Self-supervised learning for accurately modelling hierarchical evolutionary patterns of cerebrovasculature
Cerebrovascular abnormalities are critical indicators of stroke and neurodegenerative
diseases like Alzheimer's disease (AD). Understanding the normal evolution of brain vessels …
diseases like Alzheimer's disease (AD). Understanding the normal evolution of brain vessels …