The integration of imaging and artificial intelligence has radically transformed the landscape of radiotherapy, positioning advanced imaging modalities such ...

Capturing a picturesque scene through reflective materials, such as glass, often results in an unintended ...

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

Circle Cardiovascular Imaging (Circle CVI) has expanded its cvi42 platform to include advanced Vascular CT analysis, ...

The three girls say that the nonconsensual nude images were created by a perpetrator who used AI company xAI's image ...

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 ...

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 ...

Abstract: Image segmentation is crucial in many fields, but existing image segmentation models based on encoder-decoder networks are constrained by manual parameter tuning and the limited ...