Sparse instance-level supervision has recently been explored to address insufficient
annotation in biomedical instance segmentation, which is easier to annotate crowded …

In image restoration (IR) leveraging semantic priors from segmentation models has been a
common approach to improve performance. The recent segment anything model (SAM) has …

Simple Summary Prostate cancer represents a highly prevalent form of cancer worldwide,
with timely detection and treatment being crucial for achieving a high survival rate. Manual …

Neuron reconstruction in a full adult fly brain from high-resolution electron microscopy (EM)
data is regarded as a cornerstone for neuroscientists to explore how neurons inspire …

The key lie in semi-supervised semantic segmentation is how to fully exploit substantial
unlabeled data to improve the model's generalization performance by resorting to …

In this paper, we present the results of the MitoEM challenge on mitochondria 3D instance
segmentation from electron microscopy images, organized in conjunction with the IEEE-ISBI …

Accurate 3D neuron segmentation from electron mi-croscopy (EM) volumes is crucial for
neuroscience re-search. However, the complex neuron morphology often leads to over …

Recently, query-based transformer gradually draws attention in segmentation tasks due to
its powerful ability. Compared to instance segmentation in natural images, biological …

Problem: In the medical domain, obtaining training images on a large scale is difficult due to
privacy and cost issues, and as further disease incidence varies widely, class imbalance has …

Instance-aware embeddings predicted by deep neural networks have revolutionized
biomedical instance segmentation, but its resource requirements are substantial …