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MSCA-UNet: Multi-scale convolutional attention UNet for automatic cell counting using density regression
The quantification of cell numbers in microscopy images plays a vital role in biomedical
research and medical diagnosis. Presently, deep regression networks are widely employed …
research and medical diagnosis. Presently, deep regression networks are widely employed …
Cross-domain microscopy cell counting by disentangled transfer learning
Z Wang - … Workshop on Trustworthy Machine Learning for …, 2023 - Springer
Microscopy images from different imaging conditions, organs, and tissues often have
numerous cells with various shapes on a range of backgrounds. As a result, designing a …
numerous cells with various shapes on a range of backgrounds. As a result, designing a …
Using optimal transport theory to optimize a deep convolutional neural network microscopic cell counting method
Y Ding, Y Zheng, Z Han, X Yang - Medical & Biological Engineering & …, 2023 - Springer
Medical image processing has become increasingly important in recent years, particularly in
the field of microscopic cell imaging. However, accurately counting the number of cells in an …
the field of microscopic cell imaging. However, accurately counting the number of cells in an …
Rethinking Cell Counting Methods: Decoupling Counting and Localization
Cell counting in microscopy images is vital in medicine and biology but extremely tedious
and time-consuming to perform manually. While automated methods have advanced in …
and time-consuming to perform manually. While automated methods have advanced in …