Digital pathology and microscopy image analysis is widely used for comprehensive studies
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …

Achieving complete understanding of any living thing inevitably requires thorough analysis
of both its anatomic and dynamic properties. Live-cell imaging experiments carried out to …

Motivation: Automatic tracking of cells in multidimensional time-lapse fluorescence
microscopy is an important task in many biomedical applications. A novel framework for …

Automated tracking of living cells in microscopy image sequences is an important and
challenging problem. With this application in mind, we propose a global track linking …

Fine-grained classification of cervical cells into different abnormality levels is of great clinical
importance but remains very challenging. Contrary to the traditional classification methods …

In developmental biology, knowledge of cell structure and their (morpho) dynamic behavior,
leads to a comprehensive understanding of their conducts and the mechanisms in which …

The instance segmentation of cell images is the basis for conducting cell research and is of
great importance for the study and diagnosis of pathologies. To analyze current situations …

Digital clinical histopathology technique is used for accurately diagnosing cancer cells and
achieving optimal results using Internet of Things (IoT) and blockchain technology. The cell …

Tracking motile cells in time-lapse series is challenging and is required in many biomedical
applications. Cell tracks can be mathematically represented as acyclic oriented graphs …

We present a fast and robust approach to tracking the evolving shape of whole fluorescent
cells in time-lapse series. The proposed tracking scheme involves two steps. First …