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 ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...

Oral potentially malignant disorders (OPMDs), characterized by a wide variety of types and diverse clinical manifestations, have always been difficult to diagnose and differentiate. All of them carry ...

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 ...

Examples of real images of various cell types versus synthetic images produced by the researchers' generative model. Credit: Ali Shariati et al. Examples of real images of various cell types versus ...