Image Edge Detection The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by John F. Canny in 1986. Canny ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

The quantum image edge detection algorithm is based on quantum state encoding and quantum convolution principles. It maps image pixel information into quantum state vectors and performs feature ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Vivian Health reports AI is revolutionizing medical imaging, enhancing speed, accuracy, and patient care through advanced ...

A pretrained artificial intelligence model demonstrates a high sensitivity in detecting pancreatic cancer on CT scans, a new ...

KL Deemed to be University has conferred a Doctorate degree on Ms. A. Vinisha, a research scholar from the Department of ...

Looking ahead, MicroAlgo's quantum edge detection algorithm will further expand into areas such as multimodal image fusion, encrypted image analysis, and photonic quantum chip integration ...