Metaheuristic algorithms have emerged as powerful tools for partitioning images into meaningful regions by optimising objective functions that characterise homogeneity, boundary conformity and feature ...

Image segmentation refers to the process of partitioning a digital image into distinct regions that correspond to objects or areas of interest. Classical approaches can be grouped into thresholding, ...

In recent years, the use of computer algorithms for identifying specific objects within images, called “image segmentation,” has become popular in medical image analysis, helping doctors diagnose ...

In a recent study published in Nature Methods, researchers assessed a novel method for bacterial cell segmentation named Omnipose. Breakthroughs in microscopy are extremely promising for enabling ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...