3 accepted papers
As the mainstream technique for capturing images of biological specimens at nanometer resolution electron microscopy (EM) is extremely time-consuming for scanning wide field-of-view (FOV) specimens. In this paper we investigate a challenging task of large-factor EM image super-resolution (EMSR) whic…
Electron microscopy (EM) images are notoriously challenging to segment due to their complex structures and lack of effective annotations. Fortunately, large-scale self-supervised pretraining offers a promising solution by allowing us to acquire prior knowledge of cell and subcellular tissue structur…
Homogeneous instance segmentation aims to identify each instance in an image where all interested instances belong to the same category, such as plant leaves and microscopic cells. Recently, proposal-free methods, which straightforwardly generate instance-aware information to group pixels into diffe…