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eess.IV2021
One-shot Weakly-Supervised Segmentation in Medical Images
Wenhui Lei, Qi Su, Ran Gu +5
Deep neural networks usually require accurate and a large number of annotations to achieve outstanding performance in medical image segmentation. One-shot segmentation and weakly-s…
eess.IV2021★ 48 cited
Pulmonary Vessel Segmentation based on Orthogonal Fused U-Net++ of Chest CT Images
Hejie Cui, Xinglong Liu, Ning Huang
Pulmonary vessel segmentation is important for clinical diagnosis of pulmonary diseases, while is also challenging due to the complicated structure. In this work, we present an eff…