Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on ...
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 ...
Scientists from China have developed a new deep-learning method for detecting defects in PV cells. Analyzing electroluminescence (EL) images, the novel system utilizes the YOLOv8 convolutional ...
It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different ...
In a recent article, researchers explored the integration of endoscopic optical coherence tomography (OCT) with deep learning ...
A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more ...