Mitochondria, as tiny structures within the cell, are of significant importance to study cell
functions for biological and clinical analysis. And exploring how to automatically segment …

Biomedical image segmentation plays a vital role in diagnosis of diseases across various
organs. Deep learning-based object detection methods are commonly used for such …

Proposal-free instance segmentation methods have significantly advanced the field of
biological image analysis. Recently, the Segment Anything Model (SAM) has shown an …

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

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

Neuronal soma segmentation plays a crucial role in neuroscience applications. However,
the fine structure, such as boundaries, small-volume neuronal somata and fibers, are …

The development of learning-based methods has greatly improved the detection of
synapses from electron microscopy (EM) images. However, training a model for each …

Accurate segmentation of neurons in electron microscopy (EM) images plays a crucial role
in understanding the intricate wiring patterns of the brain. Existing automatic neuron …