ABSTRACT: Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between ...

UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...

The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...

Several Pixel users are reporting discrepancies between their camera viewfinder previews and the final processed photos. Most of the complaints focus on over-processed images with inaccurate color ...

PARIS, Feb 7 (Reuters) - French prosecutors said on Friday they have opened an investigation into Elon Musk's X social media platform over alleged algorithmic bias. Sign up here. The Paris ...

Magnetic resonance imaging (MRI) is a popular imaging modality in preclinical research because it delivers multiparametric information on tissues and organs in a noninvasive manner. The small ...

Abstract: Cell image segmentation is an important step in medical image processing and analysis system. The watershed algorithm is usually used to segment cells in the image. However, it is difficult ...

Abstract: As a classical method of image segmentation in mathematical morphology, the watershed transform has been applied successively into some fields like remote sensing image processing, ...