Cataracts remain a leading cause of visual impairment worldwide, necessitating prompt and accurate diagnosis to avert irreversible blindness. In recent years, deep learning has emerged as a ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

An international research team has developed a novel PV fault detection method based on deep learning of aerial images. The proposed methodology utilizes the convolutional neural network (CNN) ...

In traditional semiconductor packaging, manual defect review after automated optical inspection (AOI) is an arduous task for operators and engineers, involving review of both good and bad die. It is ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Researchers have leveraged deep learning techniques to enhance the image quality of a metalens camera. The new approach uses artificial intelligence to turn low-quality images into high-quality ones, ...

CHICAGO--(BUSINESS WIRE)--GE HealthCare (Nasdaq: GEHC) unveiled three new advanced deep learning image processing and reconstruction solutions as a part of its Effortless Recon DL portfolio at the ...