Abstract: In recent years, deep learning has been widely utilized in the fields of biomedical image segmentation and cellular image analysis. Supervised deep neural networks trained on annotated data ...
In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...
Abstract: To improve the accuracy of coastline extraction for Polarimetric Synthetic Aperture Radar (PolSAR) images, an adaptive superpixel segmentation-based method is proposed. Firstly, multiple ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results