Anglegram combined with junction splicing provides the most accurate cell segmentation The Anglegram algorithm can help when a cluster of two or more overlapped macrophages is detected by the presence ...

In the present study, researchers assessed how state-of-the-art cell segmentation algorithms performed on a variety of bacterial cells. The effectiveness of several image segmentation techniques ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

Cell segmentation algorithm needs to be trained and optimized for the retina; 3) As some of the cell subtypes are extremely rare (<0.01% of cell population in the retina), a novel cell annotation ...

Key features: Precise cell segmentation: Use multiple morphological features and a purpose-built algorithm for data-driven, high-confidence transcript-to-cell assignments. Diverse stains for ...

It could take researchers several days to manually perform cell segmentation on just 100 microscopy images ... employed a commonly used AI algorithm called a “cycle generative adversarial network” for ...

It could take researchers several days to manually perform cell segmentation on just 100 microscopy ... employed a commonly used AI algorithm called a "cycle generative adversarial network ...

Semantic segmentation of HeLa cells: An objective comparison between one traditional algorithm and four deep-learning architectures. The HeLa cell line was developed in the 1950s from a ...