Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models ...
Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
Observing individual cells through microscopes can reveal a range of important cell biological phenomena that frequently play a role in human diseases, but the process of distinguishing single cells ...
A group of scientists led by researchers from the University of New South Wales (UNSW) in Australia has developed a novel deep-learning method for denoising outdoor electroluminescence (EL) images of ...
We retrospectively analyzed 1,080 nonactionable three-dimensional (3D) reconstructed DBT screening examinations acquired between 2011 and 2016. Reference tissue segmentations were generated using ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
Observing individual cells through microscopes can reveal a range of important cell biological phenomena that frequently play a role in human diseases, but the process of distinguishing single cells ...
Researchers have developed a method to use an image generation AI model to create realistic images of single cells, which are then used as 'synthetic data' to train an AI model to better carry out ...
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