Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

An international team of researchers has built the largest three-dimensional database of ant anatomy ever assembled, scanning roughly 2,000 specimens in a single week by combining synchrotron imaging, ...

Abstract: Image segmentation is a key technology in image processing, and threshold segmentation is one of the methods used frequently. Aimed at that only one threshold or several thresholds are set ...

This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...

Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as Faster R-CNN and ...

An AI algorithm converts 2D electron microscope images into accurate 3D structures, cutting analysis time and cost to one-eighth while preserving precision. The newly developed algorithm requires ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...

Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring, and personalized treatment planning. In disciplines like ...

Image segmentation is a pivotal pre-processing step in computer vision that involves partitioning an image into segments to simplify or change its representation for easier analysis. Over recent ...