Semi-supervised neuron segmentation via reinforced consistency learning
Emerging deep learning-based methods have enabled great progress in automatic neuron
segmentation from Electron Microscopy (EM) volumes. However, the success of existing …
segmentation from Electron Microscopy (EM) volumes. However, the success of existing …
Learning cross-representation affinity consistency for sparsely supervised biomedical instance segmentation
Sparse instance-level supervision has recently been explored to address insufficient
annotation in biomedical instance segmentation, which is easier to annotate crowded …
annotation in biomedical instance segmentation, which is easier to annotate crowded …
Efficient biomedical instance segmentation via knowledge distillation
Biomedical instance segmentation is vulnerable to complicated instance morphology,
resulting in over-merge and over-segmentation. Recent advanced methods apply …
resulting in over-merge and over-segmentation. Recent advanced methods apply …