Scanning electron microscopy (SEM) techniques have been extensively performed to image
and study bacterial cells with high-resolution images. Bacterial image segmentation in SEM …

The success of deep networks for the semantic segmentation of images is limited by the
availability of annotated training data. The manual annotation of images for segmentation is …

Data-driven Artificial Intelligence (AI)/Machine learning (ML) image analysis approaches
have gained a lot of momentum in analyzing microscopy images in bioengineering …

Biofilms are ubiquitous in aqueous environments, exerting significant influence on diverse
surfaces, including metals prone to microbiologically influenced corrosion (MIC). This …

For decades, advances in volume scanning electron microscopy (SEM) have contributed
significantly to increasing large, high-resolution three-dimensional (3D) images, and deep …

Supervised deep learning techniques have demonstrated remarkable performance in
segmentation tasks in various domains including medical, biomaterial, and bioengineering …

A relevant and highly demanded modern medicine problem in many of its areas is the timely
detection and recognition of pathogenic microorganisms and microbial communities in the …