A semi-supervised, multi-sequence U-Net with late fusion and anatomical priors segments carotid vessel walls and plaques in MRI, with bottleneck fusion outperforming early fusion.
Recent advances and clinical applications of deep learning in medical image analysis.Medical image analysis, 79:102444, 2022
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
Semi-supervised learning and integration of multi-sequence MR-images for carotid vessel wall and plaque segmentation
A semi-supervised, multi-sequence U-Net with late fusion and anatomical priors segments carotid vessel walls and plaques in MRI, with bottleneck fusion outperforming early fusion.