An international research team has built the largest three-dimensional digital library of ants ever assembled, scanning more ...

An international team of researchers has built the largest three-dimensional database of ant anatomy ever assembled, scanning ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...

(A) Overall structure of the model. MLP, multilayer perceptron. (B) Structure of the time encoder module. (C) Structure of the channel encoder module. BN, batch normalization. “Domain bias caused by ...

Claritas NucMed Technologies Ltd (Claritas), a healthcare technology company specializing in state-of-the-art image enhancement, noise reduction, segmentation and quantification, and related AI ...

Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT data). In ...

This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...

1 School of Science, Tianjin University of Technology and Education, Tianjin, China. 2 School of Big Data, Lvliang Vocational and Technical College, Lvliang, China. Early image segmentation was mainly ...

Abstract: The basis of numerous computer vision applications is image segmentation, which entails dividing an image into coherent areas. In this study, different methods that are explored for image ...